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Fuzzy TCP: Optimizing TCP Congestion Control

Authors: Hamed Nejad; Mohammad Yaghmaee; Hamid Tabatabaee;

Fuzzy TCP: Optimizing TCP Congestion Control

Abstract

Efficient implementation of TCP for the Internet requires a precise determination of congestion window by the source TCP agent. This paper proposes a fuzzy implementation of TCP (Fuzzy TCP), instead of current slow-start/congestion avoidance approach for efficiently determining size of the congestion window at each time a new acknowledgement receives. The scheme uses the current size of congestion window and the slow-start threshold (ssthresh) as well as the last and previous round trip times. The proposed fuzzy controller updates the size of congestion window using a fuzzy system. The approach is applied to the source agent and the destination TCP remains unchanged.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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