Location Identification Methods for IOT Devices Using Bluetooth Low Energy (BLE)
T.Y. Leong1, R.H. Ramlee2, A.I. Tarmizi3, M.N. Shah Zainudin4, Raihaan Kamarudin5
1T.Y. Leong, CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
2R.H. Ramlee, CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
3A.I. Tarmizi, CeRIA, Faculty of Electric, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
4M.N. Shah Zainudin, CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
5Raihaan Kamarudin, CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4257-4260 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1755109119/2019©BEIESP | DOI: 10.35940/ijeat.A1755.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Indoor localization is a positioning method that used for closed environment condition. Since Internet of Things or IOT devices come with small size microcontroller units, positioning algorithms are studied and three of them are tested based on three parameters which are accuracy, algorithms response time and programming bit size. In this project, three Radio Signal Strength Indicator or RSSI based positioning algorithms are used to get the results which are trilateration, fingerprinting and proximity. Based on the data collected, proximity algorithm gives the highest accuracy, lowest response time, and lowest programming bit size. This project can be improved by sending the location of IOT devices to cloud so that it can be track by other IOT devices.
Keywords: Beacons, Bluetooth Low Energy, Fingerprinting, Indoor localization, Proximity, RSSI, Trilateration.