International Journal of Communication Systems

Cover image for Vol. 30 Issue 15

Edited By: Professor Mohammad S. Obaidat

Impact Factor: 1.066

ISI Journal Citation Reports © Ranking: 2016: 73/89 (Telecommunications); 189/260 (Engineering Electrical & Electronic)

Online ISSN: 1099-1131

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The International Journal of Communication Systems

The International Journal of Communication Systems provides a forum for R&D, open to researchers from all types of institutions and organisations worldwide, aimed at the increasingly important area of communication technology. The Journal's emphasis is particularly on the issues impacting behaviour at the system, service and management levels. Published twelve times a year, it provides coverage of advances that have a significant potential to impact the immense technical and commercial opportunities in the communications sector.

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Recently Published Articles

  1. FGWSO-TAR: Fractional glowworm swarm optimization for traffic aware routing in urban VANET

    Deepak Rewadkar and Dharmpal Doye

    Version of Record online: 21 SEP 2017 | DOI: 10.1002/dac.3430

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    • In this paper, a novel traffic aware routing protocol for VANET is used to identify the optimal path for the vehicle with less traffic density and delay time.
    • Here, a new optimization algorithm called FGWSO that is the combination of the glowworm swarm optimization and fractional theory is proposed.
    • From the outcome, the significance improvement with minimal end-to-end delay of 6.6395 seconds and distance of 17.3962 is achieved.
  2. To-send-or-not-to-send: An optimal stopping approach to network coding in multi-hop wireless networks

    Nastooh Taheri Javan, Masoud Sabaei and Mehdi Dehghan

    Version of Record online: 21 SEP 2017 | DOI: 10.1002/dac.3438

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    In this paper, we study the trade-off between 2 performance criteria: end-to-end delay and the total number of transmissions in network coded wireless multi-hop networks. We called this dilemma the to-send-or-not-to-send. We address this sequential decision-making problem by using the solid framework of optimal stopping theory and derive the optimal stopping rule for the coding node to choose the optimal action to take, ie, to wait for more coding opportunity or to stop immediately (and send packet).

  3. Modeling and performance analysis of a new secure address resolution protocol

    Osama S. Younes

    Version of Record online: 19 SEP 2017 | DOI: 10.1002/dac.3433

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    This work introduces the ARP-A scheme to secure ARP. ARP-A can detect, mitigate, and prevent the host impersonation, MITM, and DoS attacks resulting from the ARP spoofing attack. To analyze the performance of ARP-A, it was implemented on Linux. To test the scalability of the proposed scheme, a new stochastic Petri nets model has been proposed and validated. Compared with other schemes introduced in the literature, ARP-A is more efficient in terms of security and performance.

  4. Optimal scheduling of coordinated multipoint transmissions in cellular networks

    Ali Mohammad Saleh, Nadira Parveen and Md. Forkan Uddin

    Version of Record online: 19 SEP 2017 | DOI: 10.1002/dac.3431

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    To study the optimal scheduling problem in coordinated multipoint (CoMP) transmission–based cellular networks, an optimization framework is developed for computing the optimal max-min throughput and the optimal scheduling of the users. The problem is solved for several network instances and demonstrated that the optimal CoMP transmission provides a significant throughput gain over a traditional transmission. To avoid the complexity of computation, an effective heuristic scheduling algorithm is also proposed.

  5. Energy-efficient power allocation for multi-user MIMO systems with GZI precoding

    Feng Tian, Yue Yu, Tingting Zhao, Dapeng Li, Xuejun Zhang and Zhen Yang

    Version of Record online: 19 SEP 2017 | DOI: 10.1002/dac.3434

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    This paper investigates energy-efficient power allocation for MU-MIMO systems with GZI precoding. Through using Lagrange function, reducing the dimensions and solving the log function, it obtains a closed-form solution for guaranteeing the sum rate for all downlink users. And it obtains concrete numerical solution for guaranteeing the different rate requirements for users through convex optimization toolbox.

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