Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks
Since real-time and communication amount is crucial for the wireless sensor network target tracking,the performance of target tracking in the wireless sensor network is critically depended on rcal-time and communication amount reduction.This paper presents a target tracking method based on distributed adaptive particle filtering in binary wireless sensor network.Based on dynamic clustering,the adaptive particle filter receives the observations from children nodes and formulates the local estimate with the cluster head as the processing center.Simulation results show that the method can effectively improve the real-time tracking and reduce communication amount.
adaptive particle filer binary wireless sensor network target tracking
Su Ling-Dong Zhai Ming-Yue Zhu Zhi-Yu
school of electrical and electronic engineering North China Electric Power University Beijing, China Institute ofelectronic and information engineering Jiangsu University of Science and Technology Beij
国际会议
太原
英文
58-62
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）