Fuzzy qos controllers in diff-serv scheduler using genetic algorithms

Authors:
Baolin Sun;Qiu Yang;Jun Ma;Hua Chen
Affiliations:
Department of Mathematics and Physics, Wuhan University of Science and Engineering, Wuhan, China;School of Mathematics and Physics, China University of Geosciences, Wuhan, China;Department of Mathematics and Physics, Wuhan University of Science and Engineering, Wuhan, China;Department of Mathematics and Physics, Wuhan University of Science and Engineering, Wuhan, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

Quality of Service (QoS) requirements in networks with uncertain parameters has become a very important research issue in the areas of Internet, mobile networks and distributed systems. This is also a challenging and hard problem for the next generation Internet and mobile networks. It attracts the interests of many people. In this paper we propose a methodology to choose optimized fuzzy controller parameters using the genetic algorithms. Specifically, differentiated service scheme with feedback preference information (FPI) is studied in more detail to illustrate the implement of the new approach. Simulation shows that the approach is efficient, promising and applicable in ad hoc networks. The performance of this scheduler is studied using NS2 and evaluated in terms of quantitative metrics such as packet delivery ratio, average end-to-end delay. Simulation shows that the approach is efficient, promising and applicable in Diff-Serv networks.