Tracking Nodes Selection Algorithm Based on Voronoi Structure in Sensor Networks
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    Abstract:

    Energy saving and the tracking performance are two important issues in moving target tracking. This paper presents a Voronoi structure-based nodes selection algorithm, which constructs a network model based on the property of Voronoi, and selects sensor nodes which are more close to the target to participate in tracking. This paper also presents a nodes scheduling mechanism, which minimizes the number of awaking nodes with tracking quality guarantee. Finally, a set of simulation experiments are made to analyze the effects of various parameters on the network performance. Experimental results show the excellent performance of the proposed algorithm in terms of energy saving and tracking quality.

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任倩倩,李金宝,孙蓓蓓.传感器网络中一种基于维诺图的跟踪节点选择算法.软件学报,2017,28(s1):30-38

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  • Received:May 15,2017
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  • Online: December 15,2017
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