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A FUZZY-LOGIC CONTROL ALGORITHM FOR ACTIVE QUEUE MANAGEMENT IN IP NETWORKS
作者姓名:Liu  Weiyan  Zhang  Shunyi  Zhang  Mu  Liu  Tao
作者单位:[1]Jiangsu Radio and TV University, Nanjing 210036, China [2]Jiangsu Province Engineering Research Center of Telecommunication & Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China [3]Jiangsu Police Institute, Nanjing 210012, China
基金项目:国家高技术研究发展计划(863计划),国家高技术研究发展计划(863计划)
摘    要:Active Queue Management (AQM) is an active research area in the Internet community. Random Early Detection (RED) is a typical AQM algorithm, but it is known that it is difficult to configure its parameters and its average queue length is closely related to the load level. This paper proposes an effective fuzzy congestion control algorithm based on fuzzy logic which uses the predominance of fuzzy logic to deal with uncertain events. The main advantage of this new congestion control algorithm is that it discards the packet dropping mechanism of RED, and calculates packet loss according to a preconfigured fuzzy logic by using the queue length and the buffer usage ratio. Theoretical analysis and Network Simulator (NS) simulation results show that the proposed algorithm achieves more throughput and more stable queue length than traditional schemes. It really improves a router's ability in network congestion control in IP network.

关 键 词:拥塞控制  模糊逻辑  AQM  RED  IP
收稿时间:2006-04-10
修稿时间:2006-10-09

A fuzzy-logic control algorithm for active Queue Management in IP networks
Liu Weiyan Zhang Shunyi Zhang Mu Liu Tao.A FUZZY-LOGIC CONTROL ALGORITHM FOR ACTIVE QUEUE MANAGEMENT IN IP NETWORKS[J].Journal of Electronics,2008,25(1):102-107.
Authors:Weiyan Liu  Shunyi Zhang  Mu Zhang  Tao Liu
Affiliation:1. Jiangsu Radio and TV University, Nanjing 210036, China;Jiangsu Province Engineering Research Center of Telecommunication & Network Technology,Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2. Jiangsu Province Engineering Research Center of Telecommunication & Network Technology,Nanjing University of Posts and Telecommunications, Nanjing 210003, China
3. Jiangsu Police Institute, Nanjing 210012, China
Abstract:Active Queue Management (AQM) is an active research area in the Internet community. Random Early Detection (RED) is a typical AQM algorithm, but it is known that it is difficult to configure its parameters and its average queue length is closely related to the load level. This paper proposes an effective fuzzy congestion control algorithm based on fuzzy logic which uses the predominance of fuzzy logic to deal with uncertain events. The main advantage of this new congestion control algorithm is that it discards the packet dropping mechanism of RED, and calculates packet loss according to a preconfigured fuzzy logic by using the queue length and the buffer usage ratio. Theoretical analysis and Network Simulator (NS) simulation results show that the proposed algorithm achieves more throughput and more stable queue length than traditional schemes. It really improves a router's ability in network congestion control in IP network.
Keywords:Congestion control  Fuzzy logic  AQM (Active Queue Management)  RED (Random Early Detection)  IP network
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