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A Hybrid Indoor Positioning System Based on Visible Light Communication and Bluetooth RSS Trilateration
Lamya Albraheem1, Sarah Alawad1
1Information Technology Department, College of Computer and Information Science, King Saud University, Riyadh 145111, Saudi Arabia.
This study introduces a hybrid indoor positioning system combining visible light communication (VLC) and Bluetooth. The novel approach achieves high accuracy for precise indoor location tracking.
Area of Science:
- Electrical Engineering
- Computer Science
- Robotics
Background:
- Global Navigation Satellite System (GNSS) limitations in indoor environments necessitate alternative positioning solutions.
- Radio-based and Visible Light Communication (VLC) technologies are prominent indoor positioning methods.
- Existing research has not explored the synergistic use of VLC and Bluetooth within a unified positioning algorithm.
Purpose of the Study:
- To develop a hybrid indoor positioning system integrating Visible Light Communication (VLC) and Bluetooth technologies.
- To leverage the strengths of both VLC proximity and Bluetooth Received Signal Strength (RSS) trilateration for enhanced accuracy.
- To address the gap in research concerning the combined application of VLC and Bluetooth in a single positioning framework.
Main Methods:
- Initial location estimation is performed using VLC proximity sensing.
- Bluetooth signals are utilized to determine the receiver's location via Received Signal Strength (RSS) trilateration.
- A hybrid algorithm combines VLC and Bluetooth data for refined positioning.
Main Results:
- The proposed hybrid system demonstrates a high positioning accuracy, achieving up to 0.03 meters.
- The integration of VLC and Bluetooth overcomes individual technology limitations for indoor positioning.
- The novel positioning algorithm shows significant improvements in accuracy compared to standalone methods.
Conclusions:
- The hybrid VLC and Bluetooth indoor positioning system offers a promising solution for accurate location determination.
- This approach provides a foundation for future research in integrated indoor navigation systems.
- The achieved accuracy of 0.03m highlights the potential of this hybrid strategy for various indoor applications.
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