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基于Q学习的无线传感器网络自组织方法研究
引用本文:章韵,王静玉,陈志,鲍贵城,周峰,扈罗全. 基于Q学习的无线传感器网络自组织方法研究[J]. 传感技术学报, 2010, 23(11): 1623-1626. DOI: 10.3969/j.issn.1004-1699.2010.11.021
作者姓名:章韵  王静玉  陈志  鲍贵城  周峰  扈罗全
作者单位:南京邮电大学计算机学院,南京,210003;苏州出入境检验检疫局,江苏,苏州,215104
基金项目:国家自然科学基金资助项目(60905040); 江苏省高校自然科学研究计划(08KJB520007); 南京邮电大学科研基金项目资助(NY207020)
摘    要:为实现无线传感器网络中数据传输效率与能量节省的综合性能优化,提出一种基于Q学习的自组织协议方法,将无线传感器网络的每个节点映射为一个Agent,通过学习训练,使得每个Agent可以选择一个较优的转发方向,从而实现无线传感器网络的自组织。实例分析表明,应用Q学习构建的自组织传感器网络能够提高数据传输的能量效率,延长网络生存期。

关 键 词:无线传感器网络  自组织  Q学习  多Agent  生存期

Research on Self-organization Method of Wireless Sensor Networks based on Q-learning
ZHAGN Yun,WANG Jingyu,CHEN Zhi,BAO Guicheng,ZHOU Feng,HU Luoquan. Research on Self-organization Method of Wireless Sensor Networks based on Q-learning[J]. Journal of Transduction Technology, 2010, 23(11): 1623-1626. DOI: 10.3969/j.issn.1004-1699.2010.11.021
Authors:ZHAGN Yun  WANG Jingyu  CHEN Zhi  BAO Guicheng  ZHOU Feng  HU Luoquan
Affiliation:ZHAGN Yun1 WANG Jingyu1,CHEN Zhi1,BAO Guicheng1,ZHOU Feng1,HU Luoquan2 1.Department of Computer Science , Technology,Nanjing University of Posts , Telecommunications,Nanjing 210003,China,2.Suzhou Entry-Exit Inspection , Quarantine Bureau,Suzhou Jiangsu 215104
Abstract:To achieve integrated performance optimization between data transmission efficiency and energy savings in wireless sensor networks(WSNs),a self-organization protocol method based on Q-learning is proposed,in which every WSNs sensor node is mapped to an Agent,each Agent selects a better forwarding path by learning and training,so as to achieve self-organization of WSNs.Case study has shown that,the self-organizing WSNs built with Q-learning can improve energy efficiency of data transmission and prolong the n...
Keywords:wireless sensor network  self-organization  Q-learning  multi-agent  lifetime  
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