文章基本信息

标题：Reinforcement Learning Framework for Routing in WAN
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作者：Sri. M. Vamsi Krishna ; V. G. L. Narasamba
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：134-138
语种：English
出版社：Ayushmaan Technologies
摘要：A distributed adaptive opportunistic routing scheme used when network model is not known and no knowledge of network for multihop wireless network which utilizes a reinforcement learning framework to opportunistically route the packets. The established learning framework leads to a stochastic routing scheme to optimally exploits the entire opportunities in the network. The proposed algorithm is a combination of network structure characterized by transmission success probabilities and issues regarding learning and routing in opportunistic context. The performance and throughput of the algorithm is increased by considering probabilistic approaches.
关键词：Opportunistic Routing;Reward Maximization;Wireless Ad-Hoc Networks.