Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article An Energy-Efficient Target Tracking Framework in Wireless Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 524145 14 pages doi 2009 524145 Research Article An Energy-Efficient Target Tracking Framework in Wireless Sensor Networks Zhijun Yu Jianming Wei and Haitao Liu Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences No. 865 Changning Road Shanghai 200050 China Correspondence should be addressed to Zhijun Yu Received 4 September 2008 Revised 9 February 2009 Accepted 27 May 2009 Recommended by Sudharman Jayaweera This study devises and evaluates an energy-efficient distributed collaborative signal and information processing framework for acoustic target tracking in wireless sensor networks. The distributed processing algorithm is based on mobile agent computing paradigm and sequential Bayesian estimation. At each time step the short detection reports of cluster members will be collected by cluster head and a sensor node with the highest signal-to-noise ratio SNR is chosen there as reference node for time difference of arrive TDOA calculation. During the mobile agent migration the target state belief is transmitted among nodes and updated using the TDOA measurement of these fusion nodes one by one. The computing and processing burden is evenly distributed in the sensor network. To decrease the wireless communications we propose to represent the belief by parameterized methods such as Gaussian approximation or Gaussian mixture model approximation. Furthermore we present an attraction force function to handle the mobile agent migration planning problem which is a combination of the node residual energy useful information and communication cost. Simulation examples demonstrate the estimation effectiveness and energy efficiency of the proposed distributed collaborative target tracking framework. Copyright 2009 Zhijun Yu et al. This is an open access article distributed under the Creative Commons Attribution .
