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http://dx.doi.org/10.7782/JKSR.2016.19.5.585

Indoor Zone Recognition System using RSSI of BLE Beacon  

Kim, Jinpyung (Korea Railroad Research Institute)
Ahn, Taeki (Korea Railroad Research Institute)
Kim, Sanghoon (Korea Railroad Research Institute)
Ahn, Chi-Hyung (Korea Railroad Research Institute)
Publication Information
Journal of the Korean Society for Railway / v.19, no.5, 2016 , pp. 585-591 More about this Journal
Abstract
Recently, indoor location detection has become an important area in the IoT (Internet of Things) environment for various indoor location-based services. In this paper, our proposed method shows that a virtual region can be divided electromagnetically according to specific facilities or services in various IoT application areas called zones. The MLP (Multi-Layer Perceptron) method is applied to recognize the service zone at the current position. The MLP utilized an RSSI (Received Signal Strength Indicator) signal of the BLE (Bluetooth Low Energy) Beacon as input data and made decisions to affiliate the zone of the current region as output. In order to verify the proposed method, we constructed an experimental environment similar in size to an actual rail station using four of the beacon and two zones.
Keywords
Fingerprint; Received Signal Strength Indicator; Indoor Location System; Multi-Layer Perceptron; Zone-Based Indoor Location;
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Times Cited By KSCI : 1  (Citation Analysis)
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