Performance evaluation of binary negative-exponential backoff algorithm in IEEE 802.11 WLAN

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

10 Scopus citations

Abstract

IEEE 802.11 has employed distributed coordination function (DCF) adopting carrier sense multiple access with collision avoidance (CSMA/CA). To effectively resolve collisions, DCF uses binary exponential backoff (BEB) algorithm with three parameters, i.e., backoff stage, backoff counter and contention window. If a collision occurs, stations involving in the collision increase their backoff stages by one and double their contention window sizes. However, DCF with BEB wastes wireless resource when there are many contending stations. Therefore, in this paper, we propose a binary negative-exponential backoff (BNEB) algorithm which maintains a maximum contention window size during collisions and reduces a contention window size half after successful transmission of a frame without retransmissions. We also compare the performance of DCF with BEB to that with BNEB. From the results, BNEB yields better performance than BEB when the number of contending stations is larger than 4.

Original languageEnglish
Title of host publicationMobile Ad-Hoc and Sensor Networks - 2nd International Conference, MSN 2006, Proceedings
Pages294-303
Number of pages10
DOIs
StatePublished - 2006
Event2nd International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2006 - Hong Kong, China
Duration: 13 Dec 200615 Dec 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4325 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2006
Country/TerritoryChina
CityHong Kong
Period13/12/0615/12/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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