Fractional backoff algorithm for the next generation wlan

Xuewei Cai, Bo Li, Mao Yang, Zhongjiang Yan, Bo Yang, Yi Jin, Xiaobo Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid popularization of wireless communication devices, wireless local area network (WLAN) is ubiquitous in daily life. However, the demand for wireless communication services is growing rapidly and brings new challenges to WLAN technology. The problem of performance degradation under dense deployment network scenarios is an important topic in the next generation WLAN (NGW). This paper proposes fractional backoff algorithm, named eat-B, to enhance area throughput. Eat-B introduces fractional backoff and enables the nodes who provide more contributions for the area throughput to finish their backoff process faster. Simulation results indicate that the area throughput of the eat-B algorithm outperforms the binary exponential backoff (BEB) algorithm adopted by the traditional IEEE 802.11, especially under dense deployment scenarios.

Original languageEnglish
Title of host publicationWireless Internet - 11th EAI International Conference, WiCON 2018, Proceedings
EditorsAi-Chun Pang, Der-Jiunn Deng, Chun-Cheng Lin, Jiann-Liang Chen
PublisherSpringer Verlag
Pages24-31
Number of pages8
ISBN (Print)9783030061579
DOIs
StatePublished - 2019
Event11th International Conference on Wireless Internet , WiCON 2018 - Taipei, Taiwan, Province of China
Duration: 15 Oct 201816 Oct 2018

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume264
ISSN (Print)1867-8211

Conference

Conference11th International Conference on Wireless Internet , WiCON 2018
Country/TerritoryTaiwan, Province of China
CityTaipei
Period15/10/1816/10/18

Keywords

  • Binary exponential backoff
  • Dense deployment
  • IEEE 802.11 DCF
  • Next generation WLAN
  • WLAN

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