| 基于Q学习的多Sink节点无线传感网路由机制研究 |
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| 引用本文： | 周淑俐,章韵,陈志,扈罗全,岳文静.基于Q学习的多Sink节点无线传感网路由机制研究[J].传感技术学报,2011,24(10):1479-1483. |
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| 作者姓名： | 周淑俐 章韵 陈志 扈罗全 岳文静 |
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| 作者单位： | 南京邮电大学计算机学院;南京大学计算机软件新技术国家重点实验室;江苏省无线传感网高技术研究重点实验室;宽带无线通信与传感网技术教育部重点实验室;苏州出入境检验检疫局; |
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| 基金项目： | 国家自然科学基金项目(60905040); 江苏省基础研究计划(自然科学基金)项目(BK2011756); 江苏高校优势学科建设工程项目(yx002001); 江苏省博士后科研资助计划项目(1101006B); 江苏省高校自然科学研究计划(08KJB520007,11KJB510018); 南京邮电大学科研基金项目(NY207020,NY210011,NY211009) |
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| 摘 要： | 单Sink节点无线传感网存在部分关键区域节点能量消耗过快、路由选择算法单一及Sink节点失效的问题.多Sink节点无线传感网能有效解决上述问题,研究多Sink节点传感网的路由协议及其存在的不足,提出了一种基于Q学习的路由选择机制.利用该学习方法节点综合考虑各种环境因素,进行周期性的学习训练,优化路径选择,最后按照计算得...
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| 关 键 词： | Q学习 无线传感网 多Sink节点 路由机制 |
Q-learning-based Routing Mechanism for Multi-sink Wireless Sensor Networks |
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| ZHOU Shuli,ZHAGN Yun,CHEN Zhi,,HU Luoquan,YUE Wenjing .College of Computer,Nanjing University of Posts , Telecommunications,Nanjing ,China,.State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing ,.Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks.Q-learning-based Routing Mechanism for Multi-sink Wireless Sensor Networks[J].Journal of Transduction Technology,2011,24(10):1479-1483. |
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| Authors: | ZHOU Shuli ZHAGN Yun CHEN Zhi HU Luoquan YUE Wenjing College of Computer Nanjing University of Posts Telecommunications Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks |
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| Affiliation: | ZHOU Shuli1,ZHAGN Yun1,CHEN Zhi1,2,3,4,HU Luoquan5,YUE Wenjing4 1.College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China,2.State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210093,3.Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks,4.Key Lab of Broadband Wireless Communication and Sensor Network Technology,Ministry of Education,5.Suzhou Entry-Exit Inspection and Quarant... |
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| Abstract: | The traditional single-Sink sensor networks have some disadvantages,such as consuming energy of the nodes on the key path too quick,the singleness of routing algorithm,the invalidation of the Sink node,etc.While multi-Sink WSNs can solve these problems efficiently,protocols of multi-Sink WSNs are studied and a new routing mechanism based on Q-learning is presented.By using Q-learning,nodes take various kinds of conditions into account,study periodically and achieve their optimal routing.Finally the source n... |
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| Keywords: | Q-learning wireless sensor networks multi-Sink node routing mechanism |
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