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Optimal Node Selection for Target Localization in Wireless Camera Sensor Networks

This paper studies the node-selection problem for target localization in wireless camera sensor networks. The goal of node selection is to optimize the trade-off between the energy consumption of wireless camera sensor networks and the quality of target localization. The authors propose a cooperative target localization algorithm, which is implemented by two phases: target detecting phase and target locating phase. For the target detecting phase, they develop a Probing Environment and Adaptive Sleeping (PEAS)-based density control algorithm to select the proper subset of deployed camera sensors for maintaining the desired density of nodes in the detecting mode.

Provided by: Institute of Electrical and Electronics Engineers Topic: Mobility Date Added: Sep 2010 Format: PDF

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