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http://dx.doi.org/10.6109/jkiice.2010.14.5.1295

Indoor Localization in Wireless Sensor Network using LVQ  

Park, Jin-Woo (서울교통방송 뉴미디어국)
Jung, Kyung-Kwon (동국대학교 밀리미터파신기술연구센터)
Eom, Ki-Hwan (동국대학교 전자공학과)
Abstract
This paper proposed indoor location recognition method based on RSSI(received signal strength indication) using the LVQ network. In order to verify the effectiveness of the proposed method, we performed experiments, and then compared to the conventional triangularity measurement method. In the experiments, we set up the system to the laboratory, divided the 40 section, and installed 6 nodes as a reference node. We obtained the log-normal path loss model of wireless channels, RSSI converted into the distance. The distance values used as the input of LVQ. To learn the LVQ network, we set the target values as section indices. In the experiments, we determined the optimal number of subclass, and confirmed that the success rate of training phase was 96%, test phase was 91%.
Keywords
Wireless sensor networks; Indoor localization; Received signal strength; Neural networks; LVQ;
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