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: IResearch Article Distributed Encoding Algorithm for Source Localization in Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 781720 13 pages doi 2010 781720 Research Article Distributed Encoding Algorithm for Source Localization in Sensor Networks Yoon Hak Kim1 and Antonio Ortega2 1System LSI Division Samsung Electronics Giheung campus Gyeonggi-Do 446-711 Republic of Korea 2Department of Electrical Engineering Signal and Image Processing Institute University of Southern California Los Angeles CA 90089-2564 USA Correspondence should be addressed to Yoon Hak Kim yhk418@ Received 12 May 2010 Accepted 21 September 2010 Academic Editor Erchin Serpedin Copyright 2010 Y. H. Kim and A. Ortega. 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. We consider sensor-based distributed source localization applications where sensors transmit quantized data to a fusion node which then produces an estimate of the source location. For this application the goal is to minimize the amount of information that the sensor nodes have to exchange in order to attain a certain source localization accuracy. We propose a distributed encoding algorithm that is applied after quantization and achieves significant rate savings by merging quantization bins. The bin-merging technique exploits the fact that certain combinations of quantization bins at each node cannot occur because the corresponding spatial regions have an empty intersection. We apply the algorithm to a system where an acoustic amplitude sensor model is employed at each node for source localization. Our experiments demonstrate significant rate savings . over 30 5 nodes and 4 bits per node when our novel bin-merging algorithms are used. 1. Introduction In sensor networks multiple correlated sensor readings are available from many sensors that can sense compute and communicate. .
