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http://dx.doi.org/10.6109/jkiice.2015.19.6.1368

Efficient indoor positioning systems for indoor location-based service provider  

Yoon, Chang-Pyo (Department of Computer Mobile Convergence, GyeongGi College of Science and Technology)
Hwang, Chi-Gon (Department of Internet Information, Kyungmin College)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.6, 2015 , pp. 1368-1373 More about this Journal
Abstract
Recently, There is increasing interest in the IoT(Internet of Thing) as intelligent information service that enables communication between people and things based on internet. In particular the demand for indoor location-based services with the development of smart devices is rapidly increasing. Using the RSSI signal that is provide to the BLE(Bluetooth Low Energy) for Indoor location information measurement calculates distance information between beacon and mobile terminal. However, simply using the RSSI signal to the distance measurement has a difficult to get the indoor location information due to the influence of the signal interference and the weather. In this paper, by performing an operation for obtaining a reliable distance information from the signal information of iBeacon we propose a system for providing reliable indoor location.
Keywords
Genetic Algorithm; BLE; iBeacon; IoT; Location-Based Services;
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