Accessibility navigation

A fuzzy approach for the network congestion problem

Di Fatta, G., Lo Re, G. and Urso, A. (2002) A fuzzy approach for the network congestion problem. Lecture Notes in Computer Science (2329). pp. 286-295. ISSN 0302-9743

[img] Text - Accepted Version
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1007/3-540-46043-8_28


In the recent years, the unpredictable growth of the Internet has moreover pointed out the congestion problem, one of the problems that historicallyha ve affected the network. This paper deals with the design and the evaluation of a congestion control algorithm which adopts a FuzzyCon troller. The analogyb etween Proportional Integral (PI) regulators and Fuzzycon trollers is discussed and a method to determine the scaling factors of the Fuzzycon troller is presented. It is shown that the Fuzzycon troller outperforms the PI under traffic conditions which are different from those related to the operating point considered in the design.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:6146
Uncontrolled Keywords:AQM, congestion control, fuzzy control
Publisher Statement:The original publication is available at


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation