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BLE-Based Indoor Tracking System with Overlapping-Resistant IoT Solution for Tourism Applications
Radosław Belka1, Roman Stanisław Deniziak1, Grzegorz Łukawski1
1Faculty of Electrical Engineering, Automatic Control and Computer Science, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland.
Sensors (Basel, Switzerland)
|January 9, 2021
Summary
This study introduces an overlapping-resistant Internet of Things (IoT) system using Bluetooth Low Energy (BLE) beacons for indoor tracking. The system accurately determines user locations, offering a cost-effective alternative to GPS for analyzing human traffic.
Area of Science:
- Computer Science
- Electrical Engineering
- Ubiquitous Computing
Background:
- Global Positioning System (GPS) is unsuitable for indoor environments.
- Existing indoor tracking systems can be expensive or inaccurate.
- Human traffic analysis in indoor venues requires precise location data.
Purpose of the Study:
- To present an overlapping-resistant Internet of Things (IoT) solution for Bluetooth Low Energy (BLE)-based indoor tracking systems (BLE-ITS).
- To offer an inexpensive and effective alternative to GPS for indoor location-based services.
- To enable detailed human traffic analysis in indoor tourist facilities.
Main Methods:
- Utilizing BLE beacon emitters with unique MAC addresses for tagging individuals.
- Employing a distributed network of Raspberry Pi microcomputers with BLE and WiFi/Ethernet modules for location determination.
- Sending triggered login records (LRs) to a server for processing path vectors (PVs) and interest profiles (IPr).
Main Results:
- Demonstrated a functional prototype in a controlled environment.
- Achieved high overlap resistance in the tracking system.
- Successfully mitigated the multilocation problem, enhancing location accuracy.
Conclusions:
- The developed BLE-ITS is a viable, cost-effective solution for indoor tracking.
- The system effectively addresses challenges like signal overlap and multilocation.
- The technology holds significant potential for applications such as human traffic analysis in indoor venues.
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