Open AccessLocation Identification Methods for IOT Devices using Bluetooth Low Energy (BLE)
Author(s) -
Timothy Ivan Leong,
R.H. Ramlee,
Ahmad Tarmizi,
Muhammad Noorazlan Shah Zainudin,
Raihaan Kamarudin
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1755.109119
Subject(s) - trilateration , computer science , internet of things , bluetooth low energy , bluetooth , real time computing , microcontroller , identification (biology) , radio frequency identification , cloud computing , track (disk drive) , energy (signal processing) , embedded system , wireless , telecommunications , engineering , computer security , botany , structural engineering , node (physics) , biology , operating system , statistics , mathematics
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.