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《Journal of Beijing University of Aeronautics and Astronautics》 2004-11
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Flow control algorithm based on ECN probabilistic marking

Yang Zhen Ding Wei(School of Telecommunication and Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China)  
A flow model upon users' utility function was proposed, with which the optimization-based congestion control could transform optimization-based flow control. A dual gradient projection algorithm was given to optimize network flow control. In this algorithm, sources selected transmission rates that maximize their own benefits, utility minus bandwidth cost, and network links adjusted congestion prices to coordinate the sources' decision. To implement this network flow control algorithm, the routers set ECN(explicit congestion notification) bit probabilistically to transmit congestion price information. And the necessary link position information of packet path was estimated by exploiting the existing semantics of the TTL(time-to-live) field in IP header. The computer simulation verified the convergence and validity of this flow control algorithm.
【Fund】: 国家自然科学基金资助项目 (6980 2 0 0 3 );; 教育部博士学科点专项科研基金资助项目 (2 0 0 2 2 0 0 13 0 11)
【CateGory Index】: TP393
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1 MA Jin-zhong YE Jin ZHANG Xiang-li(College of Information and Communication,Gulin University of Electronic Technology,Guilin 541004,China);Research on TCP Cross-layer Design Based on Explicit Congestion Feedback in Wireless Networks[J];Computer Science;2009-03
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