Optimized design of the light source for an indoor visible light communication system based on an improved bat...

Area of Science:

• Optical Engineering
• Wireless Communication
• Artificial Intelligence

Background:

• Visible Light Communication (VLC) systems face challenges with uneven illuminance and optical power distribution.
• Non-uniform light distribution negatively impacts the performance and reliability of VLC systems.

Purpose of the Study:

• To propose an improved bat algorithm (IBA) for optimizing light source distribution in VLC systems.
• To enhance the uniformity of received illuminance and optical power on the receiving plane.
• To reduce fluctuations in received light power for improved system performance.

Main Methods:

• Developed an Improved Bat Algorithm (IBA) by modifying the speed update and local search methods of the traditional Bat Algorithm (BA).
• Utilized IBA to optimize the half-power angle and position of 16 Light-Emitting Diodes (LEDs) in rectangular and hybrid layouts.
• Set the variance of received light power on the receiving plane as the fitness function for optimization.
• Considered primary wall reflections in the simulation models.

Main Results:

• The IBA method effectively reduced fluctuations in received illumination and optical power on the receiving plane.
• Optimization was achieved within a limited number of iterations across different light source layout schemes.
• The proposed method demonstrated significant improvements in light distribution uniformity.

Conclusions:

• The IBA-based light source optimization is a viable approach for improving VLC system performance.
• Optimizing LED parameters like half-power angle and position significantly enhances received light uniformity.
• The method offers a robust solution for addressing uneven light distribution challenges in VLC.