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http://dx.doi.org/10.6109/jkiice.2016.20.6.1123

Ontology-based Positioning Systems for Indoor LBS  

Hwang, Chi-Gon (Department of Internet Information, Kyungmin College)
Yoon, Chang-Pyo (Department of Computer & Mobile Convergence, Gyeonggi Collage of Science and Technology)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.6, 2016 , pp. 1123-1128 More about this Journal
Abstract
Recently BLE beacon has been widely used as a method for measuring the indoor location in the IoT Technique. But it requires a filtering technique for the measurement of the correct position. It is used the most fixed beacon. It is not accurate that calculates the position information through the identification of the beacon signal. Therefore, filtering is important. So it takes a lot of time, position measurement and filtering. Thus, we is to measure the exact position at the indoor using a mobile beacon. The measured beacon signal is composed of an ontology for reuse in the same pattern. RSSI is measured the receiver is the distance of the beacon. And this value configure the location ontology to be normalized by the relationship analysis between the values. The ontology is a method for calculating the position information of the moving beacon. It can detect fast and accurate indoor position information and provide the service.
Keywords
LBS(Location based Service); iBeacon; BLE(Bluetooth Low Energy); Ontology; Indoor Positioning; RSSI(Receive Signal Strength Indication);
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