A coupled fuzzy logic control for routers' queue management over TCP/AQM networks

Paper

Li, Zhi and Zhang, Zhongwei. 2005. "A coupled fuzzy logic control for routers' queue management over TCP/AQM networks." Khosla, Rajiv, Howlett, Robert J. and Jain, Lakhmi C. (ed.) 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005). Melbourne, Australia 14 - 16 Sep 2005 Berlin, Germany.
Paper/Presentation Title

A coupled fuzzy logic control for routers' queue management over TCP/AQM networks

Presentation TypePaper
AuthorsLi, Zhi (Author) and Zhang, Zhongwei (Author)
EditorsKhosla, Rajiv, Howlett, Robert J. and Jain, Lakhmi C.
Journal or Proceedings TitleLecture Notes in Artificial Intelligence (Book series)
ERA Conference ID43436
Journal Citation3682, pp. 357-363
Number of Pages7
Year2005
Place of PublicationBerlin, Germany
ISBN3540288953
Web Address (URL) of Paperhttp://www.springerlink.com/content/1ae8cnc8mjabayty/fulltext.pdf
Conference/Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)
International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
Event Details
International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
KES
Rank
B
B
B
B
B
B
B
B
B
B
B
Event Details
9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)
Event Date
14 to end of 16 Sep 2005
Event Location
Melbourne, Australia
Abstract

Significant efforts in developing active queue management
(AQM) in gateway routers in a TCP/IP network have been made since random early detection (RED) in 1993, and most of them are statistical based. Our approach is to capitalize on the understanding of the TCP dynamics to design an effective AQM scheme. In this paper, two FL-based AQM algorithms are proposed with the deployment of traffic load factor for early congestion notification. Extensive experimental simulations with a range of traffic load conditions have been done for the purpose of performance evaluation. The results show that the proposed two FLAQM algorithms outperform some well-known AQM schemes in terms of both user-centric measures and network-centric measures.

Keywordsalgorithms; fuzzy sets; information management; network protocols; queueing networks; routers; telecommunication traffic
ANZSRC Field of Research 2020400604. Network engineering
469999. Other information and computing sciences not elsewhere classified
461399. Theory of computation not elsewhere classified
Public Notes

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Byline AffiliationsSchool of Information Systems
Department of Mathematics and Computing
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