Evaluation of the distributed fuzzy contention control for IEEE 802.11 wireless LANs

Young Joong Kim, Jeong On Lee, Myo Taeg Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In our previous works, we focused on run-time optimization of the IEEE 802.11 protocol to improve its performance using a well-known fuzzy logic approach. Specifically, we derived the simple, and more accurate, approximation of the network contention level and the average size of contention window to maximize the theoretical throughput limit. In addition, we proposed the distributed fuzzy contention control (DFCC) mechanism using a fuzzy logic approach. In this paper, we propose the extension of the DFCC mechanism with a priority mechanism. To verify efficiency and robustness of our mechanism, the performance of the IEEE 802.11 standard protocol with the extension of DFCC mechanism are investigated through more realistic scenarios.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
PublisherSpringer Verlag
Pages225-232
Number of pages8
ISBN (Print)3540465421, 9783540465423
Publication statusPublished - 2006 Jan 1
Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom
Duration: 2006 Oct 92006 Oct 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4253 LNAI - III
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
CountryUnited Kingdom
CityBournemouth
Period06/10/906/10/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Evaluation of the distributed fuzzy contention control for IEEE 802.11 wireless LANs'. Together they form a unique fingerprint.

  • Cite this

    Kim, Y. J., Lee, J. O., & Lim, M. T. (2006). Evaluation of the distributed fuzzy contention control for IEEE 802.11 wireless LANs. In Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings (pp. 225-232). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4253 LNAI - III). Springer Verlag.