Improving network congestion: A RED-based FuzzyPID approach

被引：21

作者：

Chen, Jengchung V. ^{[1
]}

Chen, Fu-Chi ^{[2
]}

Tarn, J. Michael ^{[3
]}

Yen, David C. ^{[4
]}

机构：

[1] Natl Cheng Kung Univ, Inst Int Management, Tainan 70101, Taiwan

[2] Natl Cheng Kung Univ, Inst Informat Management, Tainan 70101, Taiwan

[3] Western Michigan Univ, Business Informat Syst Dept, Haworth Coll Business, Kalamazoo, MI 49008 USA

[4] Miami Univ, Dept DSC & MIS, Oxford, OH 45056 USA

来源：

COMPUTER STANDARDS & INTERFACES | 2012年 / 34卷 / 05期

关键词：

Network congestion; Network; Fuzzy; PID; RED;

D O I：

10.1016/j.csi.2012.02.002

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：426 / 438

页数：13

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