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báo cáo hóa học:" Research Article An Information-Theoretic Approach for Energy-Efficient Collaborative Tracking in Wireless Sensor Networks"

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 Information-Theoretic Approach for Energy-Efficient Collaborative Tracking in Wireless Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 641632 14 pages doi 10.1155 2010 641632 Research Article An Information-Theoretic Approach for Energy-Efficient Collaborative Tracking in Wireless Sensor Networks Loredana Arienzo Institute for the Protection and Security of the Citizen Joint Research Centre European Commission Ispra 21027 Varese Italy Correspondence should be addressed to Loredana Arienzo loredana.arienzo@jrc.it Received 3 November 2009 Accepted 24 February 2010 Academic Editor Xinbing Wang Copyright 2010 Loredana Arienzo. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The problem of collaborative tracking of mobile nodes in wireless sensor networks is addressed. By using a novel metric derived from the energy model in LEACH W.B. Heinzelman A.P. Chandrakasan and H. Balakrishnan Energy-Efficient Communication Protocol for Wireless Microsensor Networks in Proceedings of the 33rd Hawaii International Conference on System Sciences HICSS 00 2000 and aiming at an efficient resource solution the approach adopts a strategy of combining target tracking with node selection procedures in order to select informative sensors to minimize the energy consumption of the tracking task. We layout a cluster-based architecture to address the limitations in computational power battery capacity and communication capacities of the sensor devices. The computation of the posterior Cramer-Rao bound PCRB based on received signal strength measurements has been considered. To track mobile nodes two particle filters are used the bootstrap particle filter and the unscented particle filter both in the centralized and in the distributed manner. Their performances are compared with the theoretical lower bound PCRB. To save energy a node selection procedure .