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http://dx.doi.org/10.9708/jksci.2016.21.10.055

Analysis of Bluetooth Indoor Localization Technologies and Experiemnt of Correlation between RSSI and Distance  

Kim, Yang-Su (Dept. of Media Software, Sangmyung University)
Jang, Beakcheol (Dept. of Media Software, Sangmyung University)
Publication Information
Journal of the Korea Society of Computer and Information / v.21, no.10, 2016 , pp. 55-62 More about this Journal
Abstract
In this paper, we present indoor localization technologies using the bluetooth signal categorizing them into proximity based, triangulation based and fingerprinting based technologies. Then we provide localization accuracy improvement algorithms such as moving average, K-means, particle filter, and K-Nearest neighbor algorithms. We define important performance issues for indoor localization technologies and analyze recent technologies according to the performance issues. Finally we provide experimental results for correlation between RSSI and distance. We believe that this paper provide wise view and necessary information for recent localization technologies using the bluetooth signal.
Keywords
Indoor Localization; Bluetooth Low Energy; Received Signal Strength Indicator; Localization Algorithm;
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