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Research Article

BEST PAPER 2021

Intelligent Computing Techniques for Communication Systems


Submission Deadline: 27 September 2021 (closed)

Abstract

This article has no abstract.

Keywords

• 5G,6G and Wireless Sensor Networks
• Intelligent Computing Techniques
• Internet of things in communication systems
• IoT in Wireless communications and networks
• QoS provisioning in wireless networks
  • Research Article

    BEST PAPER 2021

    Network Quality Assessment in Heterogeneous Wireless Settings: An Optimization Approach

    Sultan H. Almotiri*, Mohammed A. Al Ghamdi CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 439-455, 2022, DOI:10.32604/cmc.2022.021012
    Abstract The identification of an effective network which can efficiently meet the service requirements of the target, while maintaining ultimate performance at an increased level is significant and challenging in a fully interconnected wireless medium. The wrong selection can contribute to unwanted situations like frustrated users, slow service, traffic congestion issues, missed and/or interrupted calls, and wastefulness of precious network components. Conventional schemes estimate the handoff need and cause the network screening process by a single metric. The strategies are not effective enough because traffic characteristics, user expectations, network terminology and other essential device metrics are not taken into account. This… More >

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  • Research Article

    BEST PAPER 2021

    RSS-Based Indoor Localization System with Single Base Station

    Samir Salem Al-Bawri1,*, Mohammad Tariqul Islam2, Mandeep Jit Singh1,2, Mohd Faizal Jamlos3, Adam Narbudowicz4, Max J. Ammann4, Dominique M. M. P. Schreurs5 CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5437-5452, 2022, DOI:10.32604/cmc.2022.020781
    Abstract The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user’s real-time location with a maximum estimation error below 0.7 m… More >

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