A Genetic Based Fuzzy Markov Game Flow Controller for High-speed Networks

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	A Genetic Based Fuzzy Markov Game Flow Controller for High-speed Networks
	Li X(李鑫); Yu HB(于海斌)
	2011
会议名称	2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
会议日期	January 6-7, 2011
会议地点	Shangshai, China
关键词	flow control high-speed network Markov game
页码	58-61
通讯作者	李鑫
中文摘要	For the congestion problems in high-speed networks, a genetic based fuzzy Markov game flow controller (GFMC) is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. In this case, the fuzzy Markov game, which is independent of mathematic model, and prior-knowledge, has good performance. It offers a promising platform for robust control in the presence of the bounded external disturbances. The genetic operators are used to obtain the consequent parts of fuzzy rules. Simulation results show that the proposed controller can learn to take the best action to regulate source flow with the features of high throughput and low packet loss ratio, and can avoid the occurrence of congestion effectively.
收录类别	EI
产权排序	1
会议录	2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
会议录出版者	IEEE Computer Society
会议录出版地	Los Alamitos, CA, USA
语种	英语
ISBN号	978-1-4244-9010-3
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/8300]
专题	沈阳自动化研究所_工业信息学研究室
推荐引用方式 GB/T 7714	Li X,Yu HB. A Genetic Based Fuzzy Markov Game Flow Controller for High-speed Networks[C]. 见:2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). Shangshai, China. January 6-7, 2011.