Performance evaluation of binary negative-exponential backoff algorithm in presence of a channel bit error rate

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

1 Scopus citations

Abstract

The IEEE 802.11 standard basically uses a DCF (Distributed Coordination Function) to access a wireless channel. However, the DCF uses wireless resource ineffectively when there are many contending stations and a high bit error rate. To enhance the performance of the wireless LAN, Ki et al. proposed a Binary Negative-Exponential Backoff (BNEB) algorithm. We found that the performance of the BNEB algorithm was better than the conventional DCF. However, erroneous channel environment was not considered. In our work, we propose an analytical model for the BNEB algorithm in the presence of transmission error and compare the performance of the DCF with the BEB algorithm to that with the BNEB algorithm. From the result, the BNEB algorithm yields better performance than the DCF when the bit error rate (BER) ≤ 10-5.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2007 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Pages554-557
Number of pages4
EditionPART 4
ISBN (Print)9783540725893
DOIs
StatePublished - 2007
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: 27 May 200730 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume4490 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Computational Science, ICCS 2007
Country/TerritoryChina
CityBeijing
Period27/05/0730/05/07

Keywords

  • BER
  • BNEB
  • Contention window
  • PCF

Fingerprint

Dive into the research topics of 'Performance evaluation of binary negative-exponential backoff algorithm in presence of a channel bit error rate'. Together they form a unique fingerprint.

Cite this