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  • 1.
    Bilstrup, Katrin
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Uhlemann, Elisabeth
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Ström, Erik G.
    Chalmers.
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Evaluation of the IEEE 802.11p MAC method for vehicle-to-vehicle communication2008In: 68th IEEE Vehicular Technology Conference, 2008. VTC 2008-Fall: IEEE Vehicular Technology Conference (VTC) (2008), Piscataway, N.J.: IEEE Press, 2008, p. 1-5Conference paper (Refereed)
    Abstract [en]

    In this paper the medium access control (MAC) method of the upcoming vehicular communication standard IEEE 802.11p has been simulated in a highway scenario with periodic broadcast of time-critical packets (so-called heartbeat messages) in a vehicle-to-vehicle situation. The 802.11p MAC method is based on carrier sense multiple access (CSMA) where nodes listen to the wireless channel before sending. If the channel is busy, the node must defer its access and during high utilization periods this could lead to unbounded delays. This well-known property of CSMA is undesirable for time critical communications. The simulation results reveal that a specific node/vehicle is forced to drop over 80% of its heartbeat messages because no channel access was possible before the next message was generated. To overcome this problem, we propose to use self-organizing time division multiple access (STDMA) for real-time data traffic between vehicles. This MAC method is already successfully applied in commercial surveillance applications for ships (AIS) and airplanes (VDL mode 4). Our initial results indicate that STDMA outperforms CSMA for time-critical traffic safety applications in ad hoc vehicular networks.

  • 2.
    Bilstrup, Katrin
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Uhlemann, Elisabeth
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Ström, Erik G.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    On the ability of the 802.11p MAC method and STDMA to support real-time vehicle-to-vehicle communications2009In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499, Vol. 2009, no 902414, p. 1-14Article in journal (Refereed)
    Abstract [en]

    Traffic safety applications using vehicle-to-vehicle (V2V) communication is an emerging and promising area within the intelligent transportation systems (ITS) sphere. Many of these new applications require real-time communication with high reliability, meaning that packets must be successfully delivered before a certain deadline. Applications with early deadlines are expected to require direct V2V communications, and the only standard currently supporting this is the upcoming IEEE 802.11p, included in the wireless access in vehicular environment (WAVE) stack. To meet a real-time deadline, timely and predictable access to the channel is paramount. However, the medium access method used in 802.11p, carrier sense multiple access with collision avoidance (CSMA/CA), does not guarantee channel access before a finite deadline. In this paper, we analyze the communication requirements introduced by traffic safety applications, namely, low delay, reliable, real-time communications.We show by simulation of a simple, but realistic, highway scenario, that vehicles using CSMA/CA can experience unacceptable channel access delays and, therefore, 802.11p does not support real-time communications. In addition, we present a potential remedy for this problem, namely, the use of self-organizing time division multiple access (STDMA). The real-time properties of STDMA are investigated by means of the same highway simulation scenario, with promising results.

  • 3.
    Bilstrup, Katrin
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Uhlemann, Elisabeth
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Ström, Erik G.
    Chalmers, Gothenburg.
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    On the ability of the IEEE 802.11p and STDMA to provide predictable channel access2009In: Proceedings of the 16th World Congress on Intelligent Transport Systems (ITS), 2009, p. 10-Conference paper (Refereed)
    Abstract [en]

    Emerging traffic safety applications requiring low delay communications will need vehicle ad-hoc networks. The only communication standard currently supporting this is IEEE 802.11p. However, 802.11p uses the medium access method CSMA/CA, which has a major drawback: unbounded worst case channel access delay. We therefore propose an algorithm already in commercial use in the shipping industry: STDMA. With STDMA, nodes always get predictable channel access regardless of the number of competing nodes and the maximum delay is deterministic. In this paper we elaborated with different parameter settings for the two protocols with the aim of improving performance without altering the standards.

     

  • 4.
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bluetooth and Wireless Multihop Networks in Industrial Communication Systems2008Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The objective of this thesis is to investigate the use of short-range wireless communication technology in industrial communication systems where there is a need for guaranteed timely delivery of correct information. Methods for achieving such capability are developed in the context of the physical layer, the data link layer and the application layer. Based on the insight that it is impossible to achieve strict determinism in a wireless communication system, a probabilistic definition of hard real-time systems is suggested, and thus a guarantee is given in the form of the probability of fulfilling a certain goal. Since a wireless channel is time variant, it is also necessary to continuously keep track of available resources. Allocation and link management methods for wireless communication systems therefore need to be dynamic and of an online character. An exhaustive resource allocation method with redundancy is first proposed for single message delivery and then extended for the operation of a single Bluetooth piconet. However, many devices in an industrial automation system have limited computational resources, especially if wireless sensors/actuators powered by battery or wireless power are considered. This implies that methods used for resource allocation must be of low computational complexity. The complexity issue becomes evident when large systems are implemented, even if each individual sensor generates small amounts of data. The upstream and downstream flows of data grow rapidly in a hierarchical system with many sub-systems, sensors and actuators. It is empirically shown that the aggregated data flow in a monitoring system requires powerful communication nodes already at low levels in the industrial communication hierarchy. A predictable system requires that representative entities for the available resources are defined. In a communication system with a single broadcast domain, such as a single Bluetooth piconet, the resource space is often limited to the time domain. When a multihop wireless network with multiple broadcast domains is considered, the spatial domain is added as an available resource and, if a multi-channel radio transceiver is used, the frequency is also added as an available resource domain. These three domains represent the physical resource space that is available for a wireless multihop network. These are subject to trade-off in all of the three lowest protocol layers, and one of the most challenging problems in the design of a wireless multihop network is how to achieve efficient sharing of these resources. This problem is addressed by proposing a clustered architecture based on a dual-radio node that enables dynamic use of these resource domains.

  • 5.
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Design Space Exploration of Wireless Multihop Networks2005Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis explores the feasible design space of wireless multihop networks and identifies fundamental design parameters. In the process of exploring it is important to ignore all details and instead take a holistic view. This means that all protocol details are overseen, all details of radio wave propagation models are overseen and the system is modelled strictly on an architectural level. From a theoretical information perspective, there is a limit to the capacity that a certain bandwidth and a certain signal-to-noise ratio at the receiver can provide. This limit is approximated as a volume in the time-frequency-space domain. A single transmission is represented as an occupied volume in this domain. A wireless multihop network covers a spatial area, and the question is how multiple numbers of transmission volumes can be fit into a given limited spatial area. This volume fitting should be done in order to maximize the overall performance or to trade available resources to favour a specific characteristic in the wireless multihop network. The volume model is used for the design space exploration of a wireless multihop network. It is argued that the fault tolerance and the energy gain achieved in a multihop topology are its strength as compared to a single-hop architecture. It is further shown that the energy gain is achieved at the expense of delay and a greater end-to-end error probability. This indicates that these parameters must be very carefully balanced in order to gain in the global overall performance perspective. It can further be concluded that the overall spatial capacity is increased as a result of the spatial channel reuse in a multihop topology. On the other hand, it is also shown that the multihop topology introduces a rather stringent geometrical capacity limitation when the number of nodes of a wireless multihop network is increased. The dynamics (e.g. node mobility, changing radio channels etc.) of a large scale wireless multihop network is also a limiting factor. The nodes’ mobility creates a knowledge horizon beyond which very little can be known about the present network topology.

  • 6.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Katrin
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    The use of clustered wireless multihop networks in industrial settings2007In: ETFA 2007: IEEE Conference on Emerging Technologies and Factory Automation, Vols 1-3, Piscataway, NJ: IEEE Press, 2007, p. 211-218Conference paper (Refereed)
    Abstract [en]

    This paper suggests a cluster collision avoidance mechanism and a dual transceiver architecture to be used in a clustered wireless multihop network. These two contributions make the clustered wireless multihop network the preferred architecture for future industrial wireless networks. The wireless multihop cluster consists of one master and several slaves, where some of the slaves will act as gateways between different clusters. Frequency hopping spread spectrum is used on a cluster level and to avoid frequency collisions between clusters a "neighbor cluster collision avoidance mechanism" is proposed and evaluated through simulations. To break up the dependence between the clusters, introduced by the gateway nodes, each node is equipped with two transceivers. The paper is concluded with a suggestion to use a clustered wireless multihop network with orthogonal hopping sequences for an industrial setting.

  • 7.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Katrin
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Using Dual-Radio Nodes to Enable Quality of Service in a Clustered Wireless Mesh Network2006In: IEEE Conference on Emerging Technologies and Factory Automation, 2006. ETFA '06, Piscataway, N.J.: IEEE Press, 2006, p. 54-61Conference paper (Refereed)
    Abstract [en]

    In this paper some well established wireless technologies are merged into a new concept solution for a future industrial wireless mesh network. The suggested clustered wireless mesh network can handle probabilistic quality of service guarantees and is based on a dual-radio node architecture using synchronized frequency hopping spread spectrum Bluetooth radios. The proposed architecture gives a heuristic solution to the inter-cluster scheduling problem of gateway nodes in clustered architectures and breaks up the dependence between the local medium access schedules of adjacent clusters. The dual-radio feature also enables higher network connectivity, implying, for example, that a higher link redundancy can be achieved.

  • 8.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Jonsson, Magnus
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    The next challenge for the communication society: co-operating embedded systems2003Conference paper (Refereed)
  • 9.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Parsapoor, Mahboobeh
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    A Framework and Architecture for a Cognitive Manager Based on a Computational Model of Human Emotional Learning2013In: Proceedings of SDR-WInnComm-Europe 2013: Wireless Innovation European Conference on Wireless Communications Technologies and Software Defined Radio / [ed] Lee Pucker, Kuan Collins & Stephanie Hamill, 2013, p. 64-72Conference paper (Refereed)
    Abstract [en]

    In this paper we propose an architecture for a cognitive engine that is based on the emotional learning cycle instead of the traditional cognitive cycle. The cognitive cycle that traditionally has been used as reference for cognitive radio is on the basis of the Unified Theories of Cognition (UTC) to model rational decision making in humans. UTC represents a rational goal-oriented decision-action made by an intelligent agent. However, the emotional cycle represents an emotional reaction-oriented cycle instead. These two models differ in function and structure of learning, decision making and optimization. In this work the structure of these two learning cycles are compared and a computational model for artificial emotional learning based engine is suggested.

  • 10.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Sjöberg, Katrin
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    A fault tolerance test enabling QoS in a Bluetooth piconet2004Conference paper (Other (popular science, discussion, etc.))
    Abstract [en]

    An important trend, in personal area networks, is that time critical application becomes more common, e.g., voice over IP, video phone calls, network games. This segment of applications demands for quality of service (QoS) guarantees, to provide the correct functionality. The Bluetooth standard provides an optional interface to support QoS guarantees, but the standard does not suggest any actual implementation. A wireless communication channel is stochastic by nature, providing QoS guarantees with this precondition make traditional deterministic real-time theory obsolete.  In this paper a probabilistic fault tolerance test enabling quality of service guarantees in a Bluetooth piconet is given. The basic Bluetooth network architecture is based on a master-slave configuration, i.e., a point to point connection. More advanced network architectures are possible where up to eight Bluetooth equipped units can be active members of one network (piconet). Furthermore, several piconets can interconnect and form a so called scatternet.

  • 11.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Sjöberg, Katrin
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Capacity limitations in wireless sensor networks2003In: ETFA 2003: 2003 IEEE Conference on Emerging Technologies and Factory Automation, September 16-19, 2003, Lisbon, Portugal : proceedings, Piscataway, N.J.: IEEE , 2003, p. 529-536, article id 1247752Conference paper (Refereed)
    Abstract [en]

    It is expected that wireless sensor network will be used in home automation and industrial manufacturing in the future. The main driving forces for wireless sensor networks are fault tolerance, energy gain and spatial capacity gain. Unfortunately, an often forgotten issue is the capacity limits that the network topology of a wireless sensor network represents. In this paper we identify gains, losses and limitations in a wireless sensor network, using a simplified theoretical network model. Especially, we want to point out the stringent capacity limitations that this simplified network model provide. Where a comparison between the locality of the performed information exchange and the average capacity available for each node is the main contribution.

  • 12.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Sjöberg, Katrin
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    A comparison of spatial energy consumption distribution for single- and mulihop wireless network architectures2004Conference paper (Refereed)
  • 13.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Stranne, Frida
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS). The Swedish Institute for North American Studies (SINAS), Uppsala University, Uppsala, Sweden.
    Peace in Cyberspace Will Not Take Place2016Conference paper (Refereed)
    Abstract [en]

    The ongoing debate whether cyberwar exists or not is odd and to large extent based on an Industrial age view of the definition of war. The ongoing digital revolution ends the industrial age and it was in the context of the industrial age that the Clausewitzian theories of war were defined. The industrial age was built upon machines and physical objects, and the theories of war in this era were also based on these elements. However, when the importance of physical values is vanishing and replaced by other values, as information and knowledge, the fundamental elements of war in the industrial age becomes week. An extension of the theories of war in the information age is that destruction of digital assets is representing the same element of violence, if it potentially cripples an enemy to defeat. When a society’s valuable assets are in the digital form and not necessarily even present within the geographical area of a sovereign state one maybe have to reconsider the understanding of war. This paper explores the discourse framing war in the information age, and conducts a discussion on how to define peace and war in cyberspace, especially in the context of digital violence.

  • 14.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Knowledge Horizon - Dynamic limitations in a wireless ad hoc network2003In: SNCNW 2003 Swedish National Computer Networking Workshop 2003 on-line proceedings, 2003, p. 1-3Conference paper (Refereed)
    Abstract [en]

    In this paper we investigate the impact of node mobility in a wireless ad hoc network (WAHN). Especially we investigate the possibility to provide guaranteed services in a WAHN, i.e., the network topology predictability. We combine link expiration time (LET) estimation with information propagation speed (IPS) in a time-space diagram and as result an operation area is revealed. The result gives that a WAHN, where the nodes are mobile, has a knowledge horizon (KH), the distance of which is dependent on the mobility of the nodes. Beyond the KH, knowledge about the network state is impossible to achieve. Thus, we can not predict long distance network topology state when the node mobility is high.

  • 15.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Wiberg, Per-Arne
    Free2move AB.
    An architecture comparison between a wireless sensor network and an active RFID system2004In: The 29th Annual IEEE International Conference on Local Computer Networks, 2004, IEEE , 2004, p. 583-584Conference paper (Refereed)
    Abstract [en]

    In This work a new hardware platform for active RFID and wireless sensor network is presented. Furthermore a comparison of these two architectures is performed, i.e., the singlehop and the multihop architecture. The comparison reveals important issues regarding the utilization and energy consumption for the singlehop as well as for the multihop architecture.

  • 16.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    An Implementation of a 3-tier Hierarchical Wireless Sensor Network2006In: 2006 IEEE International Conference on Industrial Informatics, Piscataway, N.J.: IEEE Press, 2006, p. 138-143Conference paper (Refereed)
    Abstract [en]

    In this paper an implementation of a wireless sensor network is described. The aim with the implementation is to investigate if present design patterns are applicable on wireless sensor networks. A 3-tier model is adopted as a possible candidate for the software as well as for the network architecture. The implemented wireless sensor network consists of a heterogeneous set of hardware devices such as sensors, sensor hubs, beepers, PDAs and connectors. Most of the hardware components are COTS and most of the software is GNU licensed. All these form a 3-tier hierarchical network architecture.

  • 17.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Wiberg, Per-Arne
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Bluetooth in industrial environment2000In: 2000 IEEE International Workshop on Factory Communication Systems: proceedings : 6-8 September, 2000, ISEP, Porto, Portugal / [ed] IEEE, Piscataway, N.J.: IEEE Press, 2000, p. 239-246Conference paper (Refereed)
    Abstract [en]

    In this paper an initial study of the use of Bluetooth in industrial environment is presented. The tests have been performed at a paper-mill, and in an office environment at Halmstad University. It shows the possibility to use Bluetooth for wireless short range communication in an industrial environment.

  • 18.
    Bilstrup, Urban
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
    Routing protocol for wireless real-time multihop networks1999Conference paper (Refereed)
  • 19.
    Jonsson, Magnus
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Kunert, Kristina
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    A real-time medium access protocol supporting dynamic spectrum allocation in industrial networks2013In: Multiple Access Communications: 6th International Workshop, MACOM 2013, Vilnius, Lithuania, December 16-17, 2013. Proceedings / [ed] Magnus Jonsson, Alexey Vinel, Boris Bellalta, Ninoslav Marina, Desislava Dimitrova, Dieter Fiems, Heidelberg: Springer, 2013, p. 54-69Conference paper (Refereed)
    Abstract [en]

    Cognitive radio with spectrum sensing and spectrum reuse has great opportunities for industrial networking. Adapting to the current interference situation and utilising the available frequencies in an effective manner can greatly improve the data delivery capabilities. At the same time, real-time demands must be met. In this paper, we present a medium access control protocol supporting dynamic spectrum allocation as done in cognitive radio networks, providing deterministic medium access for heterogeneous traffic. The possibility of spectrum sensing in the nodes opens up for the possibility of increasing successful data transmissions, and a real-time analysis framework with three formalized constraints to be tested provides support for guaranteed timely treatment of hard real-time traffic. The real-time analysis framework includes a new type of delay check that more exactly bounds the delay compared to earlier work. Simulation experiments and performance comparisons are provided. © 2013 Springer International Publishing

  • 20.
    Kunert, Kristina
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES). Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Mälardalen University, Västerås, Sweden.
    Jonsson, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Deterministic real-time medium access for cognitive industrial radio networks2012In: 2012 9th IEEE International Workshop Factory Communication Systems: WFWC 2012, Proceedings / [ed] Thomas Nolte & Andreas Willig, Piscataway: IEEE Press, 2012, p. 91-94Conference paper (Refereed)
    Abstract [en]

    Industrial communication often has to work in an environment where other networks or radiation create different levels of interference for the data traffic. Additionally, industrial applications often demand predictable real-time performance of the network. One way of trying to utilise the available frequencies in an effective manner is to include cognitive functionality in the network. We present a medium access control protocol for a cognitive radio network, providing deterministic medium access for heterogeneous traffic and dynamic spectrum allocation. Spectrum sensing abilities in the nodes open up for the possibility of increasing successful data transmissions, and a real-time analysis framework provides upper-bounded medium access delay in order to guarantee timely treatment of hard real-time traffic. © 2012 IEEE.

  • 21.
    Nilsson, Björn
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Bengtsson, Lars
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Towards an Energy Efficient Protocol for Active RFID2006In: International Symposium on Industrial Embedded Systems, 2006. IES '06, Piscataway, N.J.: IEEE Press, 2006, p. 1-4Conference paper (Refereed)
    Abstract [en]

    The use of radio frequency identification systems (RFID) is growing rapidly. Today, mostly "passive" RFID systems are used because no onboard energy source is needed on the transponders. However, "active " RFID with onboard power source gives a new range of opportunities not possible with passive systems. To obtain energy efficiency in an active RFID system a protocol should be designed that is optimized with energy in mind. This paper describes the on-going work of defining and evaluating such a protocol. The protocol's performance in terms of energy efficiency, aggregated throughput, delay, and number of air collisions is evaluated and compared to that of the medium-access layer in 802.15.4 Zigbee, and also to a commercially available protocol from Free2move.

  • 22.
    Nilsson, Björn
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bengtsson, Lars
    CERES, Department of Computer Science and Engineering, Chalmers University of Technology, Göteborg, Sweden.
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    An active backscatter wake-up and tag identification extraction protocol for low cost and low power active RFID2010In: Proceedings of 2010 IEEE International Conference on RFID-Technology and Applications, RFID-TA 2010, Piscataway, NJ: IEEE Press, 2010, p. 86-91Conference paper (Refereed)
    Abstract [en]

    In this paper we present a Radio Frequency Identification (RFID) protocol used to wake up and extract the ID of every tag (or a subset thereof) within reach of a reader in an active backscatter RFID system. We also study the effect on tag energy cost and read-out delay incurred when using the protocol, which is based on a frequency binary tree. Simulations show that, when using the 2.45 GHz ISM band, more than 1500 tags can be read per second.With a population of 1000 tags, the average read-out delay is 319 ms, and the expected lifetime of the RFID tags is estimated to be more than 2.5 years, even in a scenario when they are read out very often.

  • 23.
    Nilsson, Emil
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), MPE-lab.
    Linnér, Peter
    Department of Physics, Chalmers University of Technology, Gothenburg SE-41296, Sweden.
    Sikö, Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
    A new CMOS radio for low power RFID applications2010In: Proceedings of 2010 IEEE International Conference on RFID-Technology and Applications : June 17-19, 2010 : Dong Fang Hotel, Guangzhou, China., Piscataway, N.J.: IEEE Press, 2010, p. 106-111Conference paper (Refereed)
    Abstract [en]

    A novel radio receiver circuit, functioning as a tuned active, detecting antenna, is described. The receiver is suggested to be part of a new radio system with the potential of competing with the range capability of active RFID-tags and, through its low power and long lifetime, with passive RFID-tags. The circuit is outlined and the functionality is verified by simulations and measurements.

    A 24 MHz discrete prototype showed better than -70 dBm sensitivity and 5 kHz bandwidth, with a power consumption of 102 μW. Simulations of a monolithic implementation were performed at 2.5 GHz. The detector is modeled by using 180 nm CMOS transistors. In simulations the power consumption for the detector is below 125 μW at a sensitivity of -83 dBm and a bandwidth of 9 MHz.

    Our conclusion is that this novel simple circuit architecture is well suited for monolithic implementation of a low power transceiver.

  • 24.
    Nilsson, Emil
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Nilsson, Björn
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Bengtsson, Lars
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Wiberg, Per-Arne
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    A low power-long range active RFID-system consisting of active RFID backscatter transponders2010In: 2010 IEEE International Conference on RFID-Technology and Applications (RFID-TA), Piscataway, N.J.: IEEE Press, 2010, p. 26-30Conference paper (Refereed)
    Abstract [en]

    In this paper we present a novel active radio frequency identification system consisting of transponders with low complexity, low power consumption, and long system reading range. The transponder’s low complexity and small circuit integration area indicate that the production cost is comparable to the one of a passive tag. The hardware keystone is the transponder’s radio wake-up transceiver, which is a single oscillator with very low power consumption. The communication protocol, based on frequency signalling binary tree, contributes to the low complexity of the tag architecture. More than 1500 tags can be read per second. The average transponder ID read-out delay is 319 ms when there are 1000 transponders within reach of the interrogator. The calculated expected life time for a transponder is estimated to be almost three years.

  • 25.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    A Centralized Channel Assignment Algorithm for Clustered Ad Hoc Networks2013In: ICWiSe: Sarawak : 2 – 4 December 2013: Proceeding Book / [ed] Hamzah Asyrani Bin Sulaiman, Mohd Azlishah Bin Othman & Muhammad Noorazlan Shah Bin Zainudin, Piscataway, NJ: IEEE conference proceedings, 2013, , p. 6p. 73-78, article id 6728784Conference paper (Refereed)
    Abstract [en]

    This paper presents new channel assignment algorithm for a clustered ad hoc network. The suggested method is based on a graph-theoretic model and seeks a solution for the channel assignment problem in a clustered ad hoc network. The method is based on a new meta-heuristic algorithm that is referred to as imperialist competitive algorithm (ICA). It provides a scheme for allocating the available channels to the cluster heads, maximizing spectrum efficiency and minimizing co-channel interference. The suggested method is tested for several scenarios and its performance is compared with a genetic algorithm based scheme. © 2013 IEEE

  • 26.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    An emotional learning-inspired ensemble classifier (ELiEC)2013In: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS) / [ed] M. Ganzha, L. Maciaszek & M. Paprzycki, Los Alamitos, CA: IEEE Computer Society, 2013, p. 137-141, article id 6643988Conference paper (Refereed)
    Abstract [en]

    In this paper, we suggest an inspired architecture by brain emotional processing for classification applications. The architecture is a type of ensemble classifier and is referred to as 'emotional learning-inspired ensemble classifier' (ELiEC). In this paper, we suggest the weighted k-nearest neighbor classifier as the basic classifier of ELiEC. We evaluate the ELiEC's performance by classifying some benchmark datasets. © 2013 Polish Information Processing Society.

  • 27.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    An Imperialist Competitive Algorithm For Interference-Aware Cluster-heads Selection in Ad hoc Networks2014In: Proceedings: 2014 IEEE 28th International Conference on Advanced Information Networking and Applications: IEEE AINA 2014: 13-16 May 2014: University of Victoria, Victoria, Canada, Los Alamitos, CA: IEEE Computer Society, 2014, p. 41-48Conference paper (Other academic)
    Abstract [en]

    This paper presents the results of applying a new clustering algorithm in ad hoc networks. This algorithm is a centralized method and is designed on the basis of an imperialist competitive algorithm (ICA). This algorithm aims to find a minimum number of cluster-heads while satisfying two constraints, the connectivity and interference. This work is a part of an ongoing research to develop a distributed interference aware cluster-based channel allocation method. As a matter of fact, the results of the centralized method are required to provide an upper level for the performance of the distributed version. The suggested method is evaluated for several scenarios and compares the obtained results with the reported results of ant colony optimization-based methods. © 2014 IEEE.

  • 28.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Ant Colony Optimization for Channel Assignment Problem in Clustered Mobile Ad Hoc Network2013In: Advances in Swarm Intelligence, Berlin Heidelberg: Springer Berlin/Heidelberg, 2013, Vol. 7928, p. 314-322Conference paper (Other (popular science, discussion, etc.))
    Abstract [en]

    This paper presents an ant colony optimization (ACO) method as a method for channel assignment in a mobile ad hoc network (MANET), where achieving high spectral efficiency necessitates an efficient channel assignment. The suggested algorithm is intended for graph-coloring problems and it is specifically tweaked to the channel assignment problem in MANET with a clustered network topology. A multi-objective function is designed to make a tradeoff between maximizing spectral utilization and minimizing interference. We compare the convergence behavior and performance of ACO-based method with obtained results from a grouping genetic algorithm (GGA). © 2013 Springer-Verlag Berlin Heidelberg.

  • 29.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Brain Emotional Learning Based Fuzzy Inference System (BELFIS) for Solar Activity Forecasting2012In: 2012 IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI 2012), Vol. 1, Piscataway, NJ: IEEE Press, 2012, p. 532-539, article id 6495090Conference paper (Refereed)
    Abstract [en]

    This paper presents a new architecture based on a brain emotional learning model that can be us.ed in a wide varieties of AI applications such as prediction, identification and classification. The architecture is referred to as: Brain Emotional Learning Based Fuzzy Inference System (BELFIS) and it is developed from merging the idea of prior emotional models with fuzzy inference systems. The main aim of this model is presenting a desirable learning model for chaotic system prediction imitating the brain emotional network. In this research work, the model is used for predicting the solar activity, since it has been recognized as a threat to critical infrastructures in modern society. Specifically sunspot numbers are predicted by applying the proposed brain emotional learning model. The prediction results are compared with the outcomes of using other previous models like the locally linear model tree (LOLIMOT) and radial bias function (RBF) and adaptive neuro-fuzzy inference system (ANFIS). © 2012 IEEE.

  • 30.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Brain Emotional Learning Based Fuzzy Inference System (Modified using Radial Basis Function)2013In: Eighth International Conference on Digital Information Management (ICDIM 2013), Piscataway, NJ: IEEE Press, 2013, p. 206-211, article id 6693994Conference paper (Refereed)
    Abstract [en]

    This paper presents a modified model of brain emotional learning based fuzzy inference system (BELFIS). It has been suggested to predict chaotic time series. We modify the BELFIS model merging radial basis function network with adaptive neuro-fuzzy network. The suggested model is evaluated by testing on complex systems and the obtained results are compared with the results of other studies. © 2013 IEEE.

  • 31.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Chaotic Time Series Prediction Using Brain Emotional Learning Based Recurrent Fuzzy System (BELRFS)2013In: International Journal of Reasoning-based Intelligent Systems, ISSN 1755-0556, Vol. 5, no 2, p. 113-126Article in journal (Refereed)
    Abstract [en]

    In this paper an architecture based on the anatomical structure of the emotional network in the brain of mammalians is applied as a prediction model for chaotic time series studies. The architecture is called BELRFS, which stands for: Brain Emotional Learning-based Recurrent Fuzzy System. It adopts neuro-fuzzy adaptive networksto mimic the functionality of brain emotional learning. In particular, the model is investigated to predict space storms, since the phenomenon has been recognized as a threat to critical infrastructure in modern society. To evaluate the performance of BELRFS, three benchmark time series: Lorenz time series, sunspot number time series and Auroral Electrojet (AE) index. The obtained results of BELRFS are compared with Linear Neuro-Fuzzy (LNF) with the Locally Linear Model Tree algorithm (LoLiMoT). The results indicate that the suggested model outperforms most of data driven models in terms of prediction accuracy. Copyright © 2013 Inderscience Enterprises Ltd.

  • 32.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Emotional Learning Inspired Engine: for Cognitive Radio Networks2014Conference paper (Other academic)
    Abstract [en]

    This paper suggests a new engine to be used to develop cognitive nodes in cognitive radio networks. Instead of the traditional cognitive cycle, the suggested engine could be designed based on an emotional cycle that is inspired by the emotional system that reacts to the received stimulus and learns from the reaction. The engine is called ELIE that stands for Emotional Learning Inspired Engine. This paper presents the structure of ELIE and explains how it can be implemented on the basis of generic policy architecture. This paper also discusses the possible applications of the suggested engine.

  • 33.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Imperialist Competition Algorithm for DSA in Cognitive Radio Networks2012In: 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM2012): September 21-23, 2012, Shanghai, China / [ed] C. Kurzawa, D. Graffox & G. MacPherson, Piscataway, NJ: IEEE conference proceedings, 2012, p. 1726-1729, article id 6478538Conference paper (Refereed)
    Abstract [en]

    In this paper a novel optimization method called imperialist competitive algorithm (ICA) is applied to solve the channel assignment problem in a mobile ad hoc network. First the imperialist competitive algorithm (ICA) is described, which has been proposed as an evolutionary optimization method, and after that it is explained how it can seek a near optimal solution for the channel allocation problem in a cognitive mobile ad hoc radio network. The simulation results are compared with the results that were obtained by applying island genetic algorithm. © 2012 IEEE

  • 34.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Interference-Aware Clustering Algorithms for Mobile ad hoc Network: Ant Colony optimization-based Algorithm2013In: Proceedings of SNCNW 2013: The 9th Swedish National Computer Networking Workshop: Lund, June 3-4, 2013, 2013, p. 61-66Conference paper (Refereed)
    Abstract [en]

    The next generation tactical networks will be based on mobile ad hoc networks (MANETs). These networks require as well a stable clustered network structure as an efficient channel assignment optimization method. Efficient spatial channel reuse provides network scalability and high spectral efficiency. In this paper, a centralized clustering algorithm scheme based on ant colony optimization (ACO) is suggested for forming clusters and assigning channels to clusters. Ant colony optimization (ACO) is used to select the cluster heads in an as advantageous way as possible. A multi-objective function is designed to maximize the stability and scalability, minimize the number of clusters and inter-cluster interference power. The suggested algorithms are evaluated for numerous scenarios. Particularly, the performance of ACO-based clustering algorithm is compared with other clustering algorithms.

  • 35.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Merging ant colony optimization based clustering and an imperialist competitive algorithm for spectrum management of a cognitive mobile ad hoc network2013Conference paper (Refereed)
    Abstract [en]

    Next generation tactical military network will be based on mobile ad hoc networks (MANET). These networks require efficient spatial channel reuse in order to provide high spectral efficiency and this requires as well a stable network structure as an efficient channel assignment optimization method. In this paper ant colony optimization (ACO) and imperialist competitive algorithm (ICA) are merged in the cognitive manager for the combined clustering and channel assignment problem in a clustered based MANET. Ant colony optimization is used to choose the cluster head in an as advantageous way as possible. The used multi-objective function is defined to maximize the stability and scalability, minimize the number of clusters, and minimizing interference power in between clusters. The imperialist competitive algorithm is applied for solving the channel assignment problem. In this case the multi-objective function minimizes interference and maximizes the spectral efficiency.

  • 36.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Neuro-Fuzzy Models, BELRFS and LOLIMOT, for Prediction of Chaotic Time Series2012In: INISTA 2012: International Symposium on Innovations in Intelligent Systems and Applications : 2-4 July, 2012 : Trabzon, Turkey, Piscataway, N.J.: IEEE Press, 2012, p. Article number 6247025-, article id 624702Conference paper (Refereed)
    Abstract [en]

    This paper suggests a novel learning model for prediction of chaotic time series, brain emotional learning-based recurrent fuzzy system (BELRFS). The prediction model is inspired by the emotional learning system of the mammal brain. BELRFS is applied for predicting Lorenz and Ikeda time series and the results are compared with the results from a prediction model based on local linear neuro-fuzzy models with linear model tree algorithm (LoLiMoT). © 2012 IEEE.

  • 37.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Using the grouping genetic algorithm (GGA) for channel assignment in a cluster-based mobile ad hoc network2012In: Proceedings of SNCNW 2012: The 8th Swedish National Computer Networking Workshop: Stockholm, June 7-8, 2012, 2012, p. 56-60Conference paper (Refereed)
    Abstract [en]

    Next generation tactical military network will be based on mobile ad hoc networks (MANET). These networks require efficient spatial channel reuse in order to provide high spectral efficiency and this is only achieved by efficient channel assignment optimization. For a clustered network topology the basic goal is to assign different channels to adjacent clusters, i.e. a graph coloring problem. Unfortunately, is the optimal solution for graph coloring problems intractable, the problem is NP-hard. As a consequence heuristic methods must be applied, which provide solutions with as close to optimal result as possible. In this article the grouping genetic algorithm is applied for solving the channel assignment problem in a cluster based mobile ad hoc network. The used multi objective function minimizes interference and maximizes the spectral efficiency.

  • 38.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). School of Computer Science, Faculty of Engineering & Physical Science, The University of Manchester, Manchester, United Kingdom.
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    A Brain Emotional Learning-based Prediction Model for the Prediction of Geomagnetic Storms2014In: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, Los Alamitos, CA: IEEE Press, 2014, p. 35-42Conference paper (Refereed)
    Abstract [en]

    This paper introduces a new type of brain emotional learning inspired models (BELIMs). The suggested model is  utilized as a suitable model for predicting geomagnetic storms. The model is known as BELPM which is an acronym for Brain Emotional Learning-based Prediction Model. The structure of the suggested model consists of four main parts and mimics the corresponding regions of the neural structure underlying fear conditioning. The functions of these parts are implemented by assigning adaptive networks to the different parts. The learning algorithm of BELPM is based on the steepest descent (SD) and the least square estimator (LSE). In this paper, BELPM is employed to predict geomagnetic storms using the Disturbance Storm Time (Dst) index. To evaluate the performance of BELPM, the obtained results have been compared with the results of the adaptive neuro-fuzzy inference system (ANFIS). © 2014 Polish Information Processing Society.

  • 39.
    Parsapoor, Mahboobeh
    et al.
    McGill University, Montreal, QC H3A 2T6, Canada.
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Forecasting Solar Activity with Computational Intelligence Models2018In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 70902-70909Article in journal (Refereed)
    Abstract [en]

    It is vital to accurately predict solar activity, in order to decrease the plausible damage of electronic equipment in the event of a large high-intensity solar eruption. Recently, we have proposed brain emotional learning-based fuzzy inference system (BELFIS) as a tool for the forecasting of chaotic systems. The structure of BELFIS is designed based on the neural structure of fear conditioning. The function of BELFIS is implemented by assigning adaptive networks to the components of the BELFIS structure. This paper especially focuses on the performance evaluation of BELFIS as a predictor by forecasting solar cycles 16-24. The performance of BELFIS is compared with other computational models used for this purpose, in particular with the adaptive neuro-fuzzy inference system. © 2018 IEEE.

  • 40.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). School of Computer Science, Faculty of Engineering & Physical Science, The University of Manchester, Manchester, United Kingdom.
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Neuro-fuzzy Models for Geomagnetic Storms Prediction: Using the Auroral Electrojet Index2014In: 2014 10th International Conference on Natural Computation (ICNC), Piscataway, NJ: IEEE Press, 2014, p. 12-17, article id 6975802Conference paper (Refereed)
    Abstract [en]

    This study presents comparative results obtained from employing four different neuro-fuzzy models to predict geomagnetic storms. Two of these neuro-fuzzy models can be classified as Brain Emotional Learning Inspired Models (BELIMs). These two models are BELFIS (Brain Emotional Learning Based Fuzzy Inference System) and BELRFS (Brain Emotional Learning Recurrent Fuzzy System). The two other models are Adaptive Neuro-Fuzzy Inference System (ANFIS) and Locally Linear Model Tree (LoLiMoT) learning algorithm, two powerful neuro-fuzzy models to accurately predict a nonlinear system. These models are compared for their ability to predict geomagnetic storms using the AE index.

  • 41.
    Parsapoor, Mahboobeh
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). School of Computer Science, Faculty of Engineering & Physic al Science, The University of Manchester, Manchester, United Kingdom.
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Svensson, Bertil
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Prediction of Solar Cycle 24: Using a Connectionist Model of the Emotional System2015In: 2015 International Joint Conference on Neural Networks (IJCNN), Piscataway, NJ: IEEE Press, 2015, article id 7280839Conference paper (Other (popular science, discussion, etc.))
    Abstract [en]

    Accurate prediction of solar activity as one aspect of space weather phenomena is essential to decrease the damage from these activities on the ground based communication, power grids, etc. Recently, the connectionist models of the brain such as neural networks and neuro-fuzzy methods have been proposed to forecast space weather phenomena; however, they have not been able to predict solar activity accurately. That has been a motivation for the development of the connectionist model of the brain; this paper aims to apply a connectionist model of the brain to accurately forecasting solar activity, in particular, solar cycle 24. The neuro-fuzzy method has been referred to as the brain emotional learning-based recurrent fuzzy system (BELRFS). BELRFS is tested for prediction of solar cycle 24, and the obtained results are compared with well-known neuro-fuzzy methods and neural networks as well as with physical-based methods. @2015 IEEE

  • 42.
    Ramazanali, Hawar
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Saab Training and Simulation, Huskvarna, Sweden.
    Jonsson, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Kunert, Kristina
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Military Training Network with Admission Control using Real-Time Analysis2014In: 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Piscataway, NJ: IEEE Press, 2014, p. 249-254, article id 7033244Conference paper (Refereed)
    Abstract [en]

    Military training radio networks typically consist of large numbers of mobile nodes and have to provide real-time (RT) communication between these nodes. This paper introduces a method on how to manage radio resources and provide Quality of Service (QoS) guarantees for heterogeneous traffic by using admission control, deterministic queuing, and scheduling methods. The proposed solution is based on the use of a RT feasibility test in the admission control and earliest deadline first (EDF) scheduling and queuing. This deterministic solution handles heterogeneous traffic through a novel combination of RT downlink and two types of RT uplink dynamic scheduling mechanisms. The uplink scheduling consists of a control packet based mechanism for sporadic RT traffic and a periodic short-latency mechanism for periodic RT traffic. The method presented in this paper is investigated by computer simulation, evaluating its performance and determining the maximum number of nodes supported, given a worst-case user scenario. To the best of our knowledge this is the first centralized protocol designed for a military training network providing application-specific RT support for heterogeneous traffic. ©2014 IEEE.

  • 43.
    Ramazanali, Hawar
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Saab Training and Simulation, Huskvarna, Sweden.
    Jonsson, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Multichannel admission control for military training network2015In: 2015 IEEE 18th International Symposium on Real-Time Distributed Computing (ISORC) / [ed] Lisa O’Conner, Los Alamitos, CA: IEEE Computer Society, 2015, p. 150-157Conference paper (Refereed)
    Abstract [en]

    A military training radio network requires support for a large number of mobile nodes with heterogeneous traffic and real-time requirements. We propose a deterministic protocol and an admission control using real-time analysis for a centralized radio network with a multichannel base station. The admission control implements an algorithm for frequency allocation to mobile nodes, and guarantees timely treatment of real-time traffic. The proposed online heuristic frequency allocation algorithm is compared to other known heuristic algorithms: round robin over channels and fill one channel first. The goal with the heuristic algorithms is to maximize the number of supported mobile nodes. Our results show that when the high utilization part of the traffic have shorter deadlines it is advantageous to differentiate different types of nodes onto separate frequencies, whilst if the deadline is increased it is advantageous to mix different types of nodes on each frequency. © Copyright 2015 IEEE

  • 44.
    Stranne, Frida
    et al.
    Halmstad University, School of Education, Humanities and Social Science, Research on Education and Learning within the Department of Teacher Education (FULL).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Tinker Tailor Computer Spy: Dominating “digital (in)security” discourses and its foreign policy implications2014Conference paper (Refereed)
  • 45.
    Stranne, Frida
    et al.
    Halmstad University, School of Education, Humanities and Social Science, Research on Education and Learning within the Department of Teacher Education (FULL).
    Bilstrup, Urban
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Ewertsson, Lena
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM).
    Behind the Mask – Attribution of antagonists in cyberspace and its implications on international conflicts and security issues2015Conference paper (Refereed)
    Abstract [en]

    Cyber systems and critical infrastructure are changing the dynamics of international conflicts, security issues, and challenge traditional ways of understanding warfare. Early warning and attribution of who is accountable for a cyber-attack and what is the intention with the attack is crucial information. To be able to efficiently response to a cyber-antagonist the measure of response must be decided at network speed, which is far beyond what is possible with traditional attribution methods. The ongoing “cyber arm raze” push towards the development and use of autonomous cyber response systems. An autonomous cyber response would most probably use the complexity of attack vector as a tool for attribution, not considering the identity of the antagonist for deciding the measure of response. This will challenge traditional ways of understanding conflict, war, and how nation states handle different kinds of aggressions. This leads to a new kind of deterrence increasing the need to theorize cyber conflicts, as well as empirically study how different actors are acting and reacting in relation to this new threat. This paper initiates the discourse on the implications of the use of autonomous cyber response systems for the international system/relations.

  • 46.
    Wiberg, Per-Arne
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS). Free2move AB.
    Bilstrup, Urban
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS). Free2move AB.
    Wireless Technology in Industry – Applications and User Scenarios2001In: 2001 8th IEEE International Conference on Emerging Technologies and Factory Automation: Proceedings: ETFA 2001, October 15-18, 2001, Antibes-Juan les Pins, France, vol. 1, Piscataway, NJ: IEEE Press, 2001, p. 123-131Conference paper (Refereed)
    Abstract [en]

    In this paper we draw a map of the wireless technology landscape, and place different industrial applications in this context. It is clear that in order to implement wireless communication in safety critical applications more research is needed. We describe one approach aiming at the very low bit error rates of these applications.

1 - 46 of 46
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