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Research Article Volume 11 Issue 1
Extension of particle swarm fuzzy systems for LDR threshold voltage optimization in Li–Fi communication hardware and software systems
Fatimah Abdulameer Azeez, Bashar Jabar Hameza, Ahmed G Wadday
Received: April 16, 2025 | Published: May 22, 2025
Citation: Azeez FA, Hameza BJ. Extension of particle swarm fuzzy systems for LDR threshold voltage optimization in Li–Fi communication hardware and software systems. Int Rob Auto J. 2025;11(2):28-31. DOI: 10.15406/iratj.2025.11.00297
Abstract
This paper presents an advanced optimization framework combining Particle Swarm Optimization (PSO) with fuzzy logic to enhance threshold voltage calibration of Light Dependent Resistors (LDRs) in Li-Fi communication systems. By modeling environmental lighting variations and signal noise, the proposed hybrid algorithm enables more accurate voltage threshold detection, improving data integrity in optical wireless channels. Simulation results using MATLAB demonstrate improved response dynamics and noise immunity, with the method adaptable to embedded hardware. The system architecture, both in software and hardware, is optimized for real-time applications, providing a significant boost in bit-error rate (BER) performance in Li-Fi networks.
Keywords: Li-Fi, LDR, particle swarm optimization, fuzzy systems, threshold voltage, optical wireless communication, signal processing
©2025 Azeez, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.