King's College London

Research portal

Enabling the Internet of Things with Wi-Fi Halow - Performance Evaluation of the Restricted Access Window

Research output: Contribution to journalArticle

Evgeny Khorov, Alexander Krotov, Andrey Lyakhov, Ruslan Yusupov, Massimo Condoluci, Mischa Dohler, Ian Akyildiz

Original languageEnglish
Article number8826287
Pages (from-to)127402-127415
Number of pages14
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 1 Jan 2019

King's Authors

Abstract

IEEE 802.11ah, a new amendment to the Wi-Fi standard, adapts Wi-Fi networks to the emerging Internet of Things (IoT). A key component of.11ah is the Restricted Access Window (RAW), a new channel access mechanism, which reduces contention when even thousands of IoT devices operate in the same area by assigning them different channel times. This paper shows that existing studies incorrectly understand the RAW behavior, oversimplify its modeling and thereby overestimate the real system throughput in several times, especially for short durations of the reserved RAW slots. The core contribution of this paper is a new mathematical model based on a completely different approach, which yields more accurate results and thereby enables better IoT system dimensioning. The developed model is suitable for many scenarios typical for IoT. It allows finding RAW parameters that optimize system performance in terms of throughput, power consumption, and packet loss ratio. The proposed solution is can be used for various traffic patterns: when each device transmits a single packet, a batch of packets of random size, or it has full-buffer traffic.

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454