Hybrid asset localization using light fidelity and Bluetooth Low Energy

Area of Science:

• Engineering
• Computer Science
• Ubiquitous Computing

Background:

• Indoor localization is crucial for asset management but faces technological limitations.
• Visible light communication, termed Light Fidelity (Li-Fi), offers a novel data transfer medium.
• Existing indoor localization systems require improvement for efficiency and accuracy.

Purpose of the Study:

• To propose and evaluate a hybrid indoor asset localization system integrating Li-Fi and Bluetooth Low Energy (BLE).
• To enhance asset management, maintenance, and localization processes within smart buildings.
• To compare existing Li-Fi indoor localization applications and identify areas for improvement.

Main Methods:

• Development of a hybrid system combining Li-Fi (LEDs) and BLE tags for asset detection.
• Implementation of a web-based administrator panel for system management.
• Creation of a mobile application for user interaction, asset searching, and crowdsourced location updates.
• Experimental validation of system performance, including signal detection range and accuracy.

Main Results:

• The proposed system accurately localizes assets within smart buildings.
• Li-Fi signals are detectable from 55 lx and above within a 1.5 m range.
• BLE tags are detectable up to 7 m, with accurate crowdsourcing updates within 1 m.

Conclusions:

• The hybrid Li-Fi and BLE system offers a viable solution for accurate indoor asset localization.
• Crowdsourcing integration enhances real-time asset location accuracy and system utility.
• The system demonstrates potential for easier management and maintenance of equipment in smart environments.