Application of neural networks on rate adaptation in IEEE 802.11 WLAN with multiples nodes

Chia-Pin Wang, Jungyi Hsu, Kucihsiang Liang, Ticntsung Tai

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

3 Citations (Scopus)

Abstract

The paper presents an adaptive Auto Rate Fallback (ARF) scheme to improve the performance of aggregate throughput in IEEE 802.11 Wireless Local Area Network (WLAN) with multiple nodes. When the number of contending nodes increases, using ARF will be likely to degrade transmission rates due to increasing packet collisions and can consequently cause a decline of the overall throughput. In this paper we propose a neural-network based adaptive ARF scheme which improves the throughput performance by dynamically adjusting the system parameters that determine the transmission rates according to the contention situations including the amount of contending nodes and traffic intensity. The performance of our scheme is evaluated and compared with that of other LA schemes by using the Qualnet simulator. Simulation results demonstrate the effectiveness of the propose algorithm to improve the performance of aggregate throughput in a variety of 802. 11 WLAN environments.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages425-430
Number of pages6
DOIs
Publication statusPublished - 2010 Nov 1
Event2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China
Duration: 2010 Jul 92010 Jul 11

Publication series

NameProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Volume4

Other

Other2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
CountryChina
CityChengdu
Period10/7/910/7/11

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ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Wang, C-P., Hsu, J., Liang, K., & Tai, T. (2010). Application of neural networks on rate adaptation in IEEE 802.11 WLAN with multiples nodes. In Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 (pp. 425-430). [5564037] (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010; Vol. 4). https://doi.org/10.1109/ICCSIT.2010.5564037