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  • 1.
    Ramazanali, Hawar
    et al.
    SAAB Training and Simulation, Husqvarna, Sweden.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Performance Evaluation of LTE/LTE-A DRX: A Markovian Approach2015In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 3, no 3, p. 386-397, article id 7303883Article in journal (Refereed)
    Abstract [en]

    LTE/LTE-A are emerging communication technologies on the way towards 5G telecommunication systems. Ubiquitous adoption of connectivity in between different kinds of sensors, wearable devices and other low-power equipment raises an importance of the energy-efficient wireless communications. In LTE/LTE-A the Discontinuous Reception Mechanism (DRX) aims at power saving of User Equipment (UE) devices. In the paper we present an analysis of DRX, which is novel in two dimensions. First, our analytical approach is different to existing ones due to the use of Markov chain instead of a semi-Markov ones. Secondly, along with the generic traffic models we also analyze the efficiency of DRX for military training application systems, what has not been done before. We suggest few practical recommendations regarding the DRX parameters tuning also. © 2015 IEEE.

  • 2.
    Singh, Prabhjot
    et al.
    Computer Science and Engineering Department, Chandigarh University, Mohali (Punjab), India.
    Singh Bali, Rasmeet
    Computer Science and Engineering Department, Chandigarh University, Mohali (Punjab), India.
    Kumar, Neeraj
    Computer Sciene and Engineering Department, Thapar University, Patiala (Punjab), India.
    Kumar Das, Ashok
    Center for Security, Theory and Algorithmic Research, International Institute of Information Technology, Hyderabad, India.
    Vinel, Alexey
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Yang, Laurence T.
    Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada.
    Secure Healthcare Data Dissemination Using Vehicle Relay Networks2018In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 5, no 5, p. 3733-3746Article in journal (Refereed)
    Abstract [en]

    In the recent years, vehicular adhoc networks (VANETs) can be an attractive choice for collecting and transferring the healthcare data of the passengers to the remote healthcare centers. In VANETs, some of the intermediate nodes may act as relay nodes in which case, these networks are called as vehicular relay networks (VRNs). However, the transmitted information in VRNs can be captured by intruders during transmission. Moreover, an attacker can launch selective forwarding, blackhole and sinkhole attacks in the network, which may in turn degrade the network performance parameters like high end-to-end delay, low packet delivery ratio and network throughput. Hence, to address these issues, a secure data dissemination scheme using VRNs is proposed. In the proposed scheme, firstly, a secure vehicular medical relay network system is designed for the users belonging to disconnected rural areas. The collected information is filtered at zonal levels before transmission to a nearby road side units (RSUs), which further pass it to the incoming vehicles. Secondly, a secure passenger health monitoring network is designed which continuously monitors health services of the passengers traveling in different vehicles. The information collected through small body sensors installed in the vehicles act as data sets that is forwarded to the on-board monitoring unit within the vehicle. This collected data is then transmitted to centralized healthcare centers for processing by using VRNs. Lastly, a strong Elliptic Curve Cryptography (ECC)-based cryptographic solution is designed for secure communication among different vehicles. The performance of the proposed scheme is evaluated in various network scenarios with respect to different selected parameters, such as throughput, network delay, packet delivery ratio, jitter, transmission and computation overheads, and key distribution overhead. The obtained results indicate that the proposed scheme provides improvement of 52% in average delay and 5% in packet delivery ratio. This further indicates effective message delivery even with high mobility of the vehicles. © 2018 IEEE

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