WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

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

doi:10.3390/fi12010011

Asfund Ausaf, Mohammad Zubair Khan + Show 2 more

Open Access

https://doi.org/10.3390/fi12010011

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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.

Highlights

Wi-Fi is one of the major contributors to today’s global connectivity and economy [1]
The considered wireless sensor network (WSN) load is very low; contention, congestion, and in-network interference have a minimal impact on WSN, which we aim to loosen in future work
We consider a co-existence scenario in which low-powered IEEE 802.15.4 Internet of Things (IoT) devices are subjected to interference caused by high-powered IEEE 802.11 devices

Summary

Introduction

Wi-Fi is one of the major contributors to today’s global connectivity and economy [1]. Wi-Fi is the major source of interference in the Industrial, Scientific, and Medical (ISM) radio band due to its high power and data rate as compared to the other technologies sharing the same 2.4 GHz ISM band [10]. Other technologies, such as IoT devices operating in the ISM band, can greatly benefit from the knowledge of current spectrum occupancy and design protocols for wireless coexistence, improving their transmission efficiency

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