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Inicio  /  Future Internet  /  Vol: 12 Par: 1 (2020)  /  Artículo
ARTÍCULO
TITULO

WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications

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

Resumen

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.

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