2023
DOI: 10.1587/nolta.14.193
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Effects on random early detection of the packet drop probability function with an adjustable nonlinearity

Abstract: This paper proposed a packet drop probability function with an adjustable nonlinearity parameter in random early detection (RED) for active queue management of a router to control network congestion. We investigated the effect of nonlinearity on the average queue size, average throughput, average retransmission rate, average round-trip time, and fairness index for two widely used loss-based congestion control algorithms: Reno and CUBIC. Simulations were performed with Tail-Drop and the original RED to clarify … Show more

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Cited by 2 publications
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