首页    期刊浏览 2025年07月08日 星期二
登录注册

文章基本信息

  • 标题:Reinforcement Learning Framework for Opportunistic Routing in WSNs
  • 本地全文:下载
  • 作者:G.Srinivas Rao ; A.V.Ramana
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2013
  • 卷号:2
  • 期号:5
  • 页码:19-23
  • 出版社:IJCSN publisher
  • 摘要:Routing packets opportunistically is an essential part of multihop ad hoc wireless sensor networks. The existing routing techniques are not adaptive opportunistic. In this paper we have proposed an adaptive opportunistic routing scheme that routes packets opportunistically in order to ensure that packet loss is avoided. Learning and routing are combined in the framework that explores the optimal routing possibilities. In this paper we implemented this Reinforced learning framework using a customer simulator. The experimental results revealed that the scheme is able to exploit the opportunistic to optimize routing of packets even though the network structure is unknown
  • 关键词:Reinforcement Learning;Network;Opportunistic Routing;Wireless Sensor Networks
国家哲学社会科学文献中心版权所有