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  • 1.
    Brasil, M. A. B.
    et al.
    Education Department, Industrial Technical School, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
    Bösch, Bernhard
    Halmstad University, School of Information Technology.
    Wagner, F. R.
    Institute of Informatics, Federal University of Rio Grande Do sul, Porto Alegre, 91509-900, Brazil.
    De Freitas, E. P.
    Institute of Informatics, Federal University of Rio Grande Do sul, Porto Alegre, 91509-900, Brazil.
    Performance Comparison of Multi-Agent Middleware Platforms for Wireless Sensor Networks2018In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 18, no 7, p. 3039-3049Article in journal (Refereed)
    Abstract [en]

    Despite the numerous possible applications of wireless sensor networks (WSNs), there is a key disadvantage related to the high complexity in programming WSNs, which is a result of their distributed and built-in features. To overcome this shortcoming, software agents have been identified as a suitable programming paradigm. The agent-based approach commonly uses a middleware for the execution of the software agents. In this regard, the present paper aims at comparing Java-based agent middleware platforms in their performance for the WSN application domain. Experiments were performed to analyze two versions of tracking applications, based on different agent models implemented for a given set of middleware platforms that support programming at a high-level of abstraction. The results highlight the differences in the resource consumption (CPU, memory, and energy) and in the communication overhead, providing an indication of suitability for each type of analyzed middleware, considering specific concerns while developing WSN applications. © 2001-2012 IEEE.

  • 2.
    Kaestner, Anders P.
    et al.
    Institute for Terrestrial Ecology, ETH Zurich, CH-8952 Schlieren, Switzerland.
    Bååth, Lars B.
    Halmstad University, School of Business and Engineering (SET), Mechanical Engineering and Industrial Design (MTEK).
    Microwave polarimetry tomography of wood2005In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 5, no 2, p. 209-215Article in journal (Refereed)
    Abstract [en]

    In this paper, we present a new microwave-based method to make images of fiber structure, e.g., to locate knots in wood. Evaluation of Maxwell's equations for an electromagnetic wave propagating in an anisotropic media (wood) shows that the polarization of the wave depends on the local fiber orientation in the sample. Experiments support the theoretical evaluation showing that knots can be followed in images of polarimetric parameters, reconstructed from multiple monostatic measurements. The equipment works at low intensity and is, therefore, virtually harmless to human beings; furthermore, it can be made portable and be operated by a single person.

  • 3.
    Le, Anhtuan
    et al.
    School of Engineering and Information Sciences, Middlesex University, London, United Kingdom.
    Loo, Jonathan
    School of Engineering and Information Sciences, Middlesex University, London, United Kingdom.
    Lasebae, Aboubaker
    School of Engineering and Information Sciences, Middlesex University, London, United Kingdom.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Tampere University of Technology, Tampere, Finland.
    Chen, Yue
    Department of Electronic Engineering, Queen Mary University of London, London, United Kingdom.
    Chai, Michael
    Department of Electronic Engineering, Queen Mary University of London, London, United Kingdom.
    The Impact of Rank Attack on Network Topology of Routing Protocol for Low-Power and Lossy Networks2013In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 13, no 10, p. 3685-3692Article in journal (Refereed)
    Abstract [en]

    Routing protocol for low power and lossy networks (RPL) is the underlying routing protocol of 6LoWPAN, a core communication standard for the Internet of Things. RPL outperforms other wireless sensor and ad hoc routing protocols in quality of service (QoS), device management, and energy saving performance. The Rank concept in RPL serves multiple purposes, including route optimization, prevention of loops, and managing control overhead. In this paper, we analyze several different types of internal threats that are aimed at the Rank property and study their impact on the performance of the wireless sensor network. Our analysis raises the question of an RPL weakness, which is the lack of a monitoring parent in every node. In RPL, the child node only receives the parent information through control messages, but it cannot check the services that its parent provide hence it will follow a bad quality route if it has a malicious parent. Our results show that different types of the Rank attacks can be used to intentionally downgrade specific QoS parameters. This paper also reveals that attack in a high forwarding load area will have more impact on network performance than attack in other areas. The defenders can use the knowledge of such correlation between attack location and its impact to set higher security levels at particular positions by monitoring sensitive network parameters and detecting the anomalies © 2001-2012 IEEE.

  • 4.
    Nilsson, Emil
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), MPE-lab.
    Bååth, Lars
    Agellis Group AB, Lund.
    Radar Interferometric Measurements With a Planar Patch Antenna Array2007In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 7, no 7, p. 1025-1031Article in journal (Refereed)
    Abstract [en]

    A planar patch antenna array has been made for radar interferometry. The antenna array consists of 32 rectangular patches on a ceramic loaded teflon substrate. The patches are individually coupled to the microwave electronics in two orthogonal circular polarizations. The radar interferometer is intended for topographic imaging in industrial environment, in this case, a blast furnace producing hot metal for the steel and metal industry. Ordinary imaging techniques with IR or visible radiation are not possible to use due to high temperatures, scattering from dust and particles. A model of blast furnace burden material surface was measured and detected.

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