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.