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Adaptive Iterative Search Based on Centroid Localization Algorithm for Three-dimensional Space |
ZHENG De-zhong1,LI Xue1,YUAN Peng2,TAN Hong-ying1 |
1. Key Lab of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
2.School of Control Science and Engineering, Hebei University of Technology, Tianjin 300401, China |
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Abstract The adaptive iterative search based on centroid localization algorithm is proposed based on the analysis of cancroids localization algorithm and received signal strength indicator model. First, the initial search step of unknown nodes is figured out, through multiple iterations, updating the search points and search step, the accurate location of nodes is got. This proposed algorithm has better ability of self-adaptive which can improve the accuracy of locating node, automatically adjust the range of search step, and have small number of times to iterate. The influence of different communication radius and density of distribution of reference nodes on location error was analyzed. The results show that the new approach performs well with high location accuracy and strong stability, and it is suitable for localization in three-dimensional space of wireless sensor network.
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Received: 16 August 2016
Published: 19 April 2017
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