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A Successive Region Setting Algorithm Using Signal Strength Ranking from Anchor Nodes for Indoor Localization in the Wireless Sensor Networks  

Han, Jun-Sang (Hankuk University of Foreign Studies)
Kim, Myoung-Jin (Hankuk University of Foreign Studies)
Publication Information
Abstract
Researches on indoor localization using the wireless sensor network have been actively carried out to be used for indoor area where GPS signal is not received. Computationally efficient WCL(Weighted Centroid Localization) algorithm is shown to perform relatively well. However, to get the best performance for WCL all the anchor nodes must send signal with power to cover 96% of the network. The fact that outside the transmission range of the fixed nodes drastic localization error occurs results in large mean error and deviation. Due to these problems the WCL algorithm is not easily applied for use in the real indoor environment. In this paper we propose SRS(Succesive Region Setting) algorithm which sequentially reduces the estimated location area using the signal strength from the anchor nodes. The proposed algorithm does not show significant performance degradation corresponding to transmission range of the anchor nodes. Simulation results show that the proposed SRS algorithm has mean localization error 5 times lower than that of the WCL under free space propagation environment.
Keywords
CL(Centroid Localization); WCL(Weighted Centroid Localization);
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