Sensor Selection for Target Tracking in Wireless Sensor Networks Based on Performance Bounds and Quantized Data
Yang Xiao-ju · Dianzi xuebao · 2014
For target tracking in the energy and bandwidth-constrained wireless sensor networks,a sensor selection scheme is proposed based on quantized data and conditional posterior Cramer-Rao lower bounds( CPCRLB). The received measurements are quantized and compressed to save the energy and bandwidth. The CPCRLB with quantized data is derived and used as the criterion for sensor selection to optimize the performance of tracking. Moreover,the particle filtering is employed to compute the CPCRLB approximately. The CPCRLB based sensor selection scheme is compared with the mutual information and the unconditional posterior Cramer-Rao lower bounds based sensor selection schemes by simulation. The results show that the CPCRLB is more efficient and the improved performance is achieved.