Improving network congestion: A RED-based FuzzyPID approach

Authors:
Jengchung V. Chen;Fu-Chi Chen;J. Michael Tarn;David C. Yen
Affiliations:
Institute of International Management, National Cheng Kung University, Taiwan;Institute of Information Management, National Cheng Kung University, Taiwan;Business Information Systems Department, Western Michigan University, United States;Department of DSC & MIS, Miami University, Oxford, OH 45056, United States
Venue:
Computer Standards & Interfaces
Year:
2012

Citing 9
Cited 1

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Abstract

This research proposes a new active queue management method (or FPID) to improve network congestion, which integrates the random early detection (RED) method and fuzzy proportional integral derivative (FuzzyPID) approach. Fuzzy theory applied together with PID helps control the buffer queue within the target. This article provides the literature and theoretical background of network congestion problems, active queue management methods, automatic control systems, and fuzzy controllers. Following the discussion of the proposed FPID method and the experimental design, a simulation test is conducted and analyzed in comparison to the existing popular active queue management methods. The results prove the superiority of the proposed method.