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WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

Author

Listed:
  • Asfund Ausaf

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Mohammad Zubair Khan

    (Department of Computer Science, College of Computer Science and Engineering, Taibah University Madinah, Madina 42353, Saudi Arabia)

  • Muhammad Awais Javed

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Ali Kashif Bashir

    (Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 6BH, UK)

Abstract

Internet of Things (IoT)-based devices consist of wireless sensor nodes that are battery-powered; thus, energy efficiency is a major issue. IEEE 802.15.4-compliant IoT devices operate in the unlicensed Industrial, Scientific, and Medical (ISM) band of 2.4 GHz and are subject to interference caused by high-powered IEEE 802.11-compliant Wireless Local Area Network (WLAN) users. This interference causes frequent packet drop and energy loss for IoT users. In this work, we propose a WLAN Aware Cognitive Medium Access Control (WAC-MAC) protocol for IoT users that uses techniques, such as energy detection based sensing, adaptive wake-up scheduling, and adaptive backoff, to reduce interference with the WSN and improve network lifetime of the IoT users. Results show that the proposed WAC-MAC achieves a higher packet reception rate and reduces the energy consumption of IoT nodes.

Suggested Citation

  • Asfund Ausaf & Mohammad Zubair Khan & Muhammad Awais Javed & Ali Kashif Bashir, 2020. "WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications," Future Internet, MDPI, vol. 12(1), pages 1-21, January.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:1:p:11-:d:307794
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