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Enhancement of TCP Over Wired/Wireless Networks With Packet Loss Classifiers Inferred by Supervised Learning

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tcp - ip

Overview TCP is suboptimal in hybrid wired/wireless networks because it reacts in the same way to losses due to congestion and losses due to link errors. This paper proposes to improve TCP in wired/wireless networks by endowing it with an algorithm that can distinguish packet loss causes. To build this classification algorithm, a database of pre-classified losses is gathered by simulating random network conditions, and classification models are automatically built from this database by using supervised learning methods. Several learning algorithms are compared for this task. The simulations of different scenarios show that improving TCP with such a classification algorithm can improve greatly the throughput of TCP in wired/wireless networks and at the same time maintain TCP-friendliness.

Further White Paper Details
Publisher	University of Liege	File Format	PDF
Date Published	March 2004	Downloads	1
Format	White Papers
Topics	TCP - IP, Learning Management Systems

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