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Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities
Baozhu Yu1, Xiangyu Liu1,2, Lei Guo3,4
1School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110158, China.
Sensors (Basel, Switzerland)
|July 29, 2023
Summary
This study introduces Fasys, a visible-light system for the Internet of Things (IoT). Fasys enables concurrent high-speed and low-speed communication with precise positioning, addressing big data challenges.
Area of Science:
- Computer Science
- Electrical Engineering
- Information Technology
Background:
- Visible-light communication (VLC) is crucial for Internet of Things (IoT) sensors.
- Existing VLC systems struggle with concurrent high-speed, low-speed communication, and positioning in big data environments.
Purpose of the Study:
- To propose Fasys, a novel visible-light-based fusion applications system.
- To address the limitations of current VLC systems in handling heterogeneous big data traffic.
Main Methods:
- For low-speed services: Developed a linear block coding and bit interleaving mechanism for enhanced LED positioning and data recovery.
- For high-speed services: Introduced a statistical reliability analysis framework using martingale theory and stopping time theory.
- Designed an arrival abstraction and traffic allocation scheme to manage reliability requirements.
Main Results:
- Fasys achieves consistent high-precision positioning and low Bit Error Rate (BER) data communication for low-speed services.
- The martingale-based traffic allocation scheme effectively provisions reliability concerning latency for high-speed services.
Conclusions:
- Fasys successfully integrates concurrent communication and positioning for heterogeneous big data traffic.
- The proposed methods enhance performance and reliability in visible-light-based IoT applications.
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