Abstract
Network congestion control remains a critical and high priority issue. The rapid growth of the Internet, the massive amount of data traffic it carries and increased demand to use the Internet for time-sensitive voice and video applications necessitates the design and utilization of effective congestion control algorithms. Existing TCP/IP protocol suite has been designed for best effort (delay tolerant) services and cannot effectively support time sensitive applications. Designing effective congestion control strategies to support such applications is known to be difficult because of the nature of services supported, and the variety of dynamic parameters involved. Robust congestion control techniques as an alternative (or supplement) to the traditional control approaches emerge like RED (Random Early Detection) by Floyd and Jacobson. In this work, we present initial results of a novel approach to RED implementation, a fuzzy logic controller based RED congestion algorithm. With the support of fuzzy logic, we want to achieve finer tuning for packet discarding behaviours for individual flows, and so provide better quality of service to different kinds of traffic.
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Rossides, L., Sekercioglu, A., Pitsillides, A., Vasilakos, A., Kohler, S., Tran-Gia, P. (2002). Fuzzy RED: Congestion Control for TCP/IP Diff-Serv. In: Zimmermann, HJ., Tselentis, G., van Someren, M., Dounias, G. (eds) Advances in Computational Intelligence and Learning. International Series in Intelligent Technologies, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0324-7_24
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DOI: https://doi.org/10.1007/978-94-010-0324-7_24
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