Sensor Selection based on the Fisher Information of the Kalman Filter for Target Tracking in WSNs

摘要：

　　Target tracking in wireless sensor networks (WSNs) requires efficient collaboration among sensors to achieve the tradeoff between energy consumption and tracking accuracy requirements.In this paper,we present a sensor selection measure based on the Fisher information matrix (FIM) of the Kalman filter for target tracking in wireless sensor networks.After obtaining the target state estimate using the combination of maximum likelihood estimation and the Kalman filter,the leader of the current tracking cluster selects the most informative cluster of sensors based on the FIM-based measure to track the moving tracking at the next time.Simulation results show that the improved tracking performance of our proposed collaborative tracking approach compared to other existing methods in terms of tracking accuracy.

关键词： Collaborative Target Tracking Wireless Sensor Networks The Kalman Filter Fisher Information Matrix Sensor Selection

作者: WANG Xingbo ZHANG Huanshui HAN Liangliang TANG Ping

作者单位: College of Automation,Nanjing University of Posts and Telecommunications,Nanjing 210023,P. R. China School of Control Science and Engineering,Shandong University,Jinan 250061,P. R. China Shanghai Aerospace Systems Engineering Research Institute,Shanghai 201109,P. R. China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 383-388

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）