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A Fuzzy Multiobjective Particle Swarm Optimized TS Fuzzy Logic Congestion Controller for Wireless Local Area Networks

journal contribution
posted on 2023-05-17, 09:57 authored by Nyirenda, CN, Dawoud, DS, Dong, F, Michael NegnevitskyMichael Negnevitsky, Hirota, K
A Takagi-Sugeno Fuzzy Logic Congestion Detection (TSFLCD) mechanism is proposed for IEEE 802.11 wireless Local Area Networks. A Fuzzy Preference based Multi-Objective Particle Swarm Optimization (FPMOPSO) mechanism, for tuning the input membership functions and the output scalars, is also proposed. An online adaptation mechanism that fine tunes the output scalars based on system dynamics is implemented. Compared to the Adaptive Random Early Detection (ARED) and the Mamdani inference based Fuzzy Logic Congestion Detection (FLCD) mechanisms, simulation resulsts show that the TSFLCD mechanism leads to more than 40% reduction in packet loss rate. It also leads to more than 25% and up to 14% reductions in jitter and delay respectively for real time traffic. This work lays a foundation for the development of simple multiobjective fuzzy congestion controllers in wireless LANs.

History

Publication title

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volume

15

Pagination

41-54

ISSN

1343-0130

Department/School

School of Engineering

Publisher

Fuji Technology Press Co. Ltd

Place of publication

Tokyo Japan

Rights statement

Copyright 2011 Fuji Technology Press Ltd.

Repository Status

  • Restricted

Socio-economic Objectives

Communication technologies, systems and services not elsewhere classified

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