An adaptive algorithm for active queue management

Chonggang Wang (), Yu Lin (), Kazem Sohraby () and Bo Li ()
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Chonggang Wang: University of Arkansas
Yu Lin: Beijing University of Posts and Telecommunications
Kazem Sohraby: University of Arkansas
Bo Li: The Hong Kong Univ. of Science and Technology

Journal of Combinatorial Optimization, 2006, vol. 12, issue 1, No 9, 162 pages

Abstract: Abstract This paper proposes an adaptive proportional integral (API) algorithm for active queue management. API uses mean packet loss ratio and mean queue length as control error to adaptively adjust packet drop probability in order to expedite congestion control. The extensive simulations validate that API achieves faster control response and improved performance in terms of goodput, average queue length, and packet loss ratio.

Keywords: Quality of service; Active queue management; Congestion control (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1007/s10878-006-8909-8

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