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Proceedings Paper

Fair and efficient network congestion control based on minority game
Author(s): Zuxi Wang; Wen Wang; Hanping Hu; Zhaozhang Deng
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Paper Abstract

Low link utility, RTT unfairness and unfairness of Multi-Bottleneck network are the existing problems in the present network congestion control algorithms at large. Through the analogy of network congestion control with the "El Farol Bar" problem, we establish a congestion control model based on minority game(MG), and then present a novel network congestion control algorithm based on the model. The result of simulations indicates that the proposed algorithm can make the achievements of link utility closing to 100%, zero packet lose rate, and small of queue size. Besides, the RTT unfairness and the unfairness of Multi-Bottleneck network can be solved, to achieve the max-min fairness in Multi-Bottleneck network, while efficiently weaken the "ping-pong" oscillation caused by the overall synchronization.

Paper Details

Date Published: 23 November 2011
PDF: 7 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062R (23 November 2011); doi: 10.1117/12.911896
Show Author Affiliations
Zuxi Wang, Huazhong Univ. of Science and Technology (China)
Key Lab. of Image Processing and Intelligent Control (China)
Wen Wang, Huazhong Univ. of Science and Technology (China)
Key Lab. of Image Processing and Intelligent Control (China)
Hanping Hu, Huazhong Univ. of Science and Technology (China)
Key Lab. of Image Processing and Intelligent Control (China)
Zhaozhang Deng, Huazhong Univ. of Science and Technology (China)
Key Lab. of Image Processing and Intelligent Control (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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