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《Journal of Zhejiang University(Engineering Science)》 2014-01
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Computing method of RSSI probability centroid for location in WSN

CHENG Sen-lin;LI Lei;ZHU Bao-wei;CHAI Yi;College of Automation,Chongqing University;  
A probability-centroid locating method based on RSSI was presented aiming at the low comprehensive locating precision in the least square locating method and large computing amount in maximum likelihood estimation locating.The algorithm adopted the overlapping area,which should be locating ring of anchor node under a certain outstanding degree,replacing the whole distribution area in wireless sensor network(WSN).Then the probability-density-centroid of overlapping area was figured out as the estimated value of unknown node.Locating error curves of the two methods were obtained under the existing differences of standard deviation of anchor nodes.The comparative results demonstrated that the locating precision of the method was higher than that of least square locating method,which validated that the algorithm would excel the least square locating algorithm.Results show that the method is provided with the same locating precision as maximum likelihood estimation,and the computing amount is reduced by 95%~97.5%.
【Fund】: 国家自然科学基金资助项目(60974090)
【CateGory Index】: TP212.9;TN929.5
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 WANG Jian-gang,WANG Fu-bao,DUAN Wei-jun(Institute of Broadband Network,Northwestern Polytechnical University,Xi'an Shanxi 710072,China);Application of Weighted Least Square Estimates on Wireless Sensor Network Node Localization[J];Application Research of Computers;2006-09
【Co-citations】
Chinese Journal Full-text Database 10 Hits
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【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 WANG Fu-Bao1+, SHI Long1, REN Feng-Yuan2 1(Institute of Broadband Network, Northwest Polytechnical University, Xi’an 710072, China) 2(Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China);Self-Localization Systems and Algorithms for Wireless Sensor Networks[J];Journal of Software;2005-05
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