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一种高效覆盖的水下传感器网络部署策略
引用本文:黄艳,梁.一种高效覆盖的水下传感器网络部署策略[J].电子与信息学报,2009,31(5):1035-1039.
作者姓名:黄艳  
作者单位:1. 中国科学院沈阳自动化研究所工业信息学重点实验室,沈阳,110016;中国科学院研究生院,北京,100039
2. 中国科学院沈阳自动化研究所工业信息学重点实验室,沈阳,110016
基金项目:国家自然科学基金,辽宁省青年人才基金 
摘    要:传感器节点的部署直接关系到水下传感器网络的成本和性能.考虑到传感器节点间具有很强的协同能力,该文提出一种基于检测融合的部署策略.采用Neyman-Pearson准则融合单元网格内所有传感器节点的检测信息,实现正方形和正三角形两种单元网格的高效覆盖,进而分别给出针对两种单元网格的监测区域网格划分方法,从而确定监测区域需要的传感器节点数量以及放置的具体位置.通过仿真实验验证了该部署策略的有效性.结果表明,与不采用检测融合时相比,降低了传感器节点冗余度.使用相同数量的传感器节点,新的部署策略能够在保证一定感知质量的基础之上获得更大的覆盖范围.

关 键 词:水下传感器网络  检测融合  部署  覆盖
收稿时间:2008-1-4
修稿时间:2008-12-22

A Deployment Strategy for Effective Coverage in Underwater Sensor Networks
Huang Yan,Liang Wei,Yu Hai-bin.A Deployment Strategy for Effective Coverage in Underwater Sensor Networks[J].Journal of Electronics & Information Technology,2009,31(5):1035-1039.
Authors:Huang Yan  Liang Wei  Yu Hai-bin
Affiliation:Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;Graduate University of Chinese Academy of Sciences, Beijing 100039, China
Abstract:Sensor deployment is related directly to the cost and performance of underwater sensor networks. Considering great cooperative capability of sensor nodes, this paper presents a deployment strategy based on detection fusion. Neyman-Pearson criterion is adopted to fuse the detection information from all sensor nodes in one unit grid, which realizes highly efficient coverage for square and triangle unit grid. The grid plot methods of detection field are presented respectively for two types of unit grid. The number of sensor nodes to monitor the detection field and their locations are determined consequently. The effectiveness of proposed deployment strategy is verified by simulation experiments. The results indicate that sensor node redundancy is decreased in contrast to deployment strategy without detection fusion. With fixed quantity of sensor nodes, the new deployment strategy offers larger coverage area with the desired detection accuracy.
Keywords:Underwater sensor networks  Detection fusion  Deployment  Coverage
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