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Conference Paper Analysis of Positioning Accuracy Corresponding to the Number of BLE Beacons in Indoor Positioning System
Cited 110 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Myungin Ji, Jooyoung Kim, Juil Jeon, Youngsu Cho
Issue Date
2015-07
Citation
International Conference on Advanced Communication Technology (ICACT) 2015, pp.92-95
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICACT.2015.7224764
Abstract
In these days, a technology that utilize of Bluetooth Low Energy (BLE) beacon, has been attracted attention to provide variety of convenience services. Especially, not limited to the service that can assist to people directly such as public safety, healthcare, proximity-based service, mobile payment, etc., a technology that can provide convenience indirectly such as asset tracking has also been proposed. Most of all, the indoor location awareness using BLE beacon is the essential technique that can realize these services, it is expected to be more focused if the more BLE beacon is spread in the future. In this paper, we first analyse practical path loss model of BLE signals with compared to that of Wi-Fi signals in order to take advantage of the BLE beacon for indoor positioning. To estimate the practical path loss model, we employed four BLE beacons (each two beacon is the same manufacturer) and two of Wi-Fi AP. Each signal was measured during one minute at each reference distance from lm to 13m (with 2m interval) in a Line-of-Sight (LOS) environment. The calculated path loss model was used to generate a BLE signal virtually, we applied the model to configure the BLE radiomap and generate positioning measurement data in our simulation. Since BLE signal has relatively lower tx power compared to Wi-Fi APs, it requires much more beacons to achieve comparable positioning accuracy. We focused on the relationship between the number of installed beacon and its positioning accuracy in this paper.
KSP Keywords
Asset tracking, BLE beacons, Bluetooth Low energy, IEEE 802.11(Wi-Fi), Indoor location awareness, Indoor positioning System, Line of sight(LOS), Positioning accuracy, Practical Path Loss Model, Proximity-based service, Public safety