NDLI: Fuzzy logic target utilization and prediction for traffic control

Content Provider	IEEE Xplore Digital Library
Author	Hiam Hiok Lim Bin Qiu
Copyright Year	2000
Description	Author affiliation: Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia (Hiam Hiok Lim)
Abstract	This paper presents a novel closed-loop traffic controller which is based on fuzzy set and fuzzy logic theory. The proposed controller has stable and robust operations under long round-trip delays and it does not use complicated analytical methods. A key feature of the controller is its ability to target link utilization dynamically based on the predicted future buffer condition in the switch. This is achieved by using fuzzy logic target utilization and fuzzy logic prediction. The prediction estimates the queue length one round-trip delay ahead. The predicted queue length, together with the queue growth rate and current queue length are used to produce a target utilization factor. The proposed fuzzy logic traffic control scheme is applied to both approximate and exact fair rate computation switch algorithms. The performance of fuzzy logic traffic control scheme is then compared with conventional schemes. Simulation results show that the fuzzy logic control scheme significantly reduces convergence time and overall buffer size requirements. It also exhibits lower queueing delay, delay variation and cell loss ratio.
Starting Page	1644
Ending Page	1648
File Size	492321
Page Count	5
File Format	PDF
ISBN	0780364511
DOI	10.1109/GLOCOM.2000.891916
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-11-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Traffic control Switches Delay estimation Fuzzy control Fuzzy set theory Robust control Computational modeling Size control Convergence
Content Type	Text
Resource Type	Article

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