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Improved Bluetooth Low Energy Sensor Detection for Indoor Localization Services.

Maja Pušnik¹, Mitja Galun², Boštjan Šumak¹

¹Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia.

Sensors (Basel, Switzerland)

|April 25, 2020

Summary

This study enhances Bluetooth Low Energy sensor detection for mobile applications. The improved iBeacon protocol algorithm offers better localization accuracy, especially in complex environments with obstacles.

Keywords:

BLE Bluetooth Low Energy Internet of Things IoT iBeacon indoor localization

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Area of Science:

Computer Science
Electrical Engineering
Ubiquitous Computing

Background:

Wireless Sensor Networks (WSNs) are crucial for location-based applications.
Accurate localization in WSNs faces challenges like latency, energy efficiency, and environmental factors.
Bluetooth Low Energy (BLE) sensors and the iBeacon protocol are key for proximity-based services.

Purpose of the Study:

To improve the detection of the nearest Bluetooth Low Energy sensor.
To enhance mobile applications for location advertising in public spaces like fairs and museums.
To develop a more efficient localization technique for WSNs.

Main Methods:

The study proposed a novel algorithm based on the iBeacon protocol.
Localization performance was evaluated using controlled experiments with varying obstacle densities.
Real-world testing was conducted at the Expo Museum in Slovenia.

Main Results:

The proposed algorithm demonstrated superior performance compared to the standard algorithm.
Performance improvements were particularly notable in environments with medium to high obstacle densities.
The technique proved effective in both controlled and real-world settings.

Conclusions:

The developed technique offers a more effective method for detecting BLE sensors.
Findings can guide the strategic placement of beacons for optimized location-based services.
The study contributes to more efficient transmitter detection algorithms for mobile applications.