Receiver centric fuzzy logic congestion control for TCP throughput improvement over wireless networks

Authors:
Kai Shi;Yantai Shu;Qingfeng Song
Affiliations:
Department of Computer Science, Tianjin University, Tianjin, China;Department of Computer Science, Tianjin University, Tianjin, China;Institute of System Engineering, Tianjin University, Tianjin, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Year:
2009

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Abstract

In this paper, we propose a novel fuzzy logic congestion control mechanism to improve throughput performance of transmission control protocol (TCP) in wireless high-bandwidth delay networks. It is based on a receiver centric method of which the available bandwidth is measured at the receiver. The available bandwidth utilization serves as an incipient network congestion indicator, which acts as one input to a fuzzy logic controller to help represent the network congestion level, then the congestion control mechanism adjusts the TCP congestion window size based on the output congestion level of the fuzzy logic controller, the trend of available bandwidth variation and the packet loss information. The advantages of our mechanism are accurate bandwidth estimation and congestion prediction, and improved bandwidth utilization. Simulation results in various scenarios validate the effectiveness of our mechanism.