The Study on Weighted Target Tracking Algorithm for Binary Sensor Networks
二进制传感器网络加权目标跟踪算法研究

The research focus of this paper is to design a novel target tracking algorithm for binary sensor network (BSN). The weight in existing algorithms can not reflect the realtime relationship between target and sensing nodes. Distance weighted target tracking algorithm is proposed, in which the distance weight can reflect the realtime relationship between target and senisng nodes and thererfore has better performance than the existing algorithms. In distance weighted algorithm, sensing node should transmit both sensing information and distance information to the fusion center and consum more energy. Prediction-based distance weighted target tracking algorithm is provided, which can reduce energy consumption by the transmission of only sensing information. Simulation results show that prediction-based distance weighted algorithm can not only guarantee the tracking accuracy but also reduce energy consumption, compared with the existent algorithms.