@inproceedings{e66b68f42d6349a08bbd661347b60fab,
title = "Indoor Tracking with Bluetooth Low Energy Devices Using K-Nearest Neighbour Algorithm",
abstract = "In this paper we discuss the design of an indoor positioning system (IPS) using Bluetooth Low Energy (BLE) scanners and beacons. We deployed the prototype system in a laboratory where its dimension is measured at 990⨯770cm2, Range test has been carried out to study the relationship between distance and Received Signal Strength (RSSI) of the BLE devices. Using the highest RSSI values received from 3 of the scanners, we use K-Nearest Neighbour algorithm to predict the region where the beacon is possibly located. We further demonstate that our system is able to estimate the location region of the target beacon with good accuracy.",
keywords = "Bluetooth Low Energy, Indoor tracking, K-Nearest Neighbour, localization",
author = "Lie, {Koon Kee} and Yeo, {Kwok Shien} and {Ngoh Ting}, {Alvin Kee} and {Tze Chieng}, {David Heng}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2020 ; Conference date: 18-04-2020 Through 19-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ISCAIE47305.2020.9108790",
language = "English",
series = "ISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "155--159",
booktitle = "ISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics",
address = "United States",
}