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.
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Sun, B., Yang, Q., Ma, J., Chen, H. (2005). Fuzzy QoS Controllers in Diff-Serv Scheduler Using Genetic Algorithms. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_14
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DOI: https://doi.org/10.1007/11596448_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
Online ISBN: 978-3-540-31599-5
eBook Packages: Computer ScienceComputer Science (R0)