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基于目标检测能量有效的边界节点选择算法 被引量:1

Energy-efficient boundary node selection algorithm based on target detection
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摘要 目标检测是无线传感器网络一种非常重要的应用。提出了一种能量有效的分布式边界节点选择算法(DBNS),在监测区域边缘从Sink节点开始分布式选择边界节点(BN),对备选边界节点进行筛选,保证边界节点选择的有效性。在目标检测的过程中,当目标进入监测区域,边界节点向周围的节点发送消息,记录目标进入时间和位置,并通过节点的应答机制对目标进行跟踪。仿真实验表明,该算法与其他算法相比在边界节点数目、平均数据包、目标确定时间和节点剩余能量方面具有较好的性能。 The target detection is a kind of very important application in wireless sensor networks. This paper presents an energy efficient distributed boundary node selection (DBNS) algorithm. The boundary nodes (BN) are selected dis- tributively, starting from the Sink node at the edge of the monitoring area. Then, the candidate nodes are screened to guarantee the effectiveness of the boundary node selection. In the target detection process, when the target enters the monitoring area, the boundary nodes send messages to the adjacent nodes, and record the entry time and entry position; and the target tracking is realized through the node response mechanism. Simulation experiment results indicate that compared with other boundary node selection algorithms, the proposed algorithm has better performances in the number of boundary nodes, the average number of data packets, the time of target detection and the node residual energy.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2013年第12期2749-2756,共8页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(71271165、61373174) 电子信息系统复杂电磁环境效应国家重点实验室基金(CEMEE2012K0207B,CEMEE2014K0302A) 浙江省科技厅重点创新团队资助项目(2010R50041) 浙江省科技厅重大优先主题项目(2011C14024)资助
关键词 无线传感器网络 目标检测 边界节点 能量有效 wireless sensor networks (WSNs) target detection boundary node (BN) energy efficient
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