WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

Asfund Ausaf, Mohammad Zubair Khan, Muhammad Awais Javed and Ali Kashif Bashir
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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

Future Internet, 2020, vol. 12, issue 1, 1-21

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.

Keywords: wireless sensor networks; medium access control; IEEE 802.15.4; IEEE 802.11 (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
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