International Journal of Communication Systems

Cover image for Vol. 31 Issue 5

Edited By: Professor Mohammad S. Obaidat

Impact Factor: 1.066

ISI Journal Citation Reports © Ranking: 2016: 73/89 (Telecommunications); 190/262 (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. Multicast beamforming with LOS self-interference cancellation in full-duplex wireless communications

    Fei Wu, Wanzhi Ma and Donglin Liu

    Version of Record online: 22 FEB 2018 | DOI: 10.1002/dac.3544

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    The problem of multiple multicast with near-field self-interference suppression beamforming under spherical waveform assumption is investigated. This problem is NP-hard and can be solved by 2-step method, ie, an SDR bisection loop to get the relaxed matrix and a randomization procedure coupled with linear program bisection loop search for the beamvectors recovery.

  2. An intrusion detection system based on combining probability predictions of a tree of classifiers

    Ahmed Ahmim, Makhlouf Derdour and Mohamed Amine Ferrag

    Version of Record online: 22 FEB 2018 | DOI: 10.1002/dac.3547

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    This paper presents an intrusion detection system (IDS) based on the combination of the probability predictions of a tree of classifiers. The proposed IDS is composed of 2 layers. The first one is a tree of classifiers. The second layer is a classifier that combines the probability predictions of the tree. The experiments on KDD99 and NSL-KDD show that our IDS gives a low FAR, high DR and the highest accuracy with 96.27% for KDD99 and 89.75% for NSL-KDD.

  3. Distributed semi-adaptive compressive sensing data collection in wireless sensor networks

    Saeed Mehrjoo and Farshad Khunjush

    Version of Record online: 21 FEB 2018 | DOI: 10.1002/dac.3546

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    This paper proposes a distributed and semi-adaptive Compressive Sensing based data collection method for WSNs. The proposed method benefits total coefficients energy parameter to increase the lifetime and reconstruction accuracy.

  4. An efficient in-network caching decision algorithm for Internet of things

    Dong Doan Van and Qingsong Ai

    Version of Record online: 19 FEB 2018 | DOI: 10.1002/dac.3521

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    Key findings

    • To propose effective multiattribute in-network caching decision algorithm that is based on a set of decisive attributes for Internet-of-things applications to select the powerful nodes/devices along delivery paths to store the data items.
    • To determine the importance of each attribute by weight vector calculation, which greatly supports more accurate caching decisions.
    • To evaluate the impact of different key Internet-of-things attributes on the proposed approach in comparison with typical caching strategies.
  5. A Lion-Whale optimization-based migration of virtual machines for data centers in cloud computing

    J. Venkata Krishna, G. Apparao Naidu and Niraj Upadhayaya

    Version of Record online: 19 FEB 2018 | DOI: 10.1002/dac.3539

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    This paper presents a virtual machine migration algorithm based on Lion-Whale optimization by integrating the Lion optimization algorithm and the Whale optimization algorithm. The optimal virtual machine (VM) migration is performed by the Lion-Whale virtual machine migration based on a new fitness function in the regulation of the resource use, migration cost, and energy consumption of VM placement. The experimentation of the proposed VM migration strategy is performed over 4 cloud setups with a different configuration which are simulated using CloudSim toolkit.

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