Research On VLC Power Distribution Optimization Based On Bat Algorithm

The principle of visible light communication is mainly to use the characteristics of LEDs to transmit data at a frequency higher than that recognized by human eyes.Therefore,visible light communication can ensure lighting while communicating.Visible light communication has the characteristics of high speed,security,and healthiness,and thus has a wide range of application prospects in indoor high-speed communications,indoor positioning,security communications,traffic and communications.This paper presents a new solution to the problem of visible light in the distribution of optical communication power.An ordinary visible light communication scheme uses an LED array as an emission source,but the power of the same LED array is the same,and the same cannot be freely adjusted.The solution proposed in this paper is to add a power adjustment factor to the LED light source in visible light communication,and adjust factors to adjust the transmit power of the LED light source so as to optimize the received power on the receiving plane.In this paper,we use the variance of the received power on the receiving plane or the signal-to-noise ratio as the objective function,and use the bat algorithm to adjust the power control factor to make the distribution of the receiving plane relatively uniform.In order to realize the above process,the bat algorithm is implemented for the agreement of visible light communication,and an adaptive simplified model is proposed.The function definition of the plane-based uniform description is given,and the mapping of loudness and pulse incidence to the bat position solution is established.relationship.Experiments show that the bat algorithm has a better solution to the problem of visible light communication power distribution,and its speed is better than the particle swarm algorithm.This paper studies the power distribution problem of visible light communication in special scenes(in this article,the high-speed railway cabin is used as an example).Due to the excessive number of visible light communication LED arrays under special scenes(high-speed railway)scene,there is a need for more high speed and more suitable algorithms.Therefore,this paper proposes a further improvement of the bat algorithm.In order to solve the problems of low variability and convergence to local solutions in the original bat algorithm,we propose to use the traditional way of walking and ? flight to solve the deficiencies of the original bat algorithm for the variation part.And we use the weight factor to improve the mutation rate and it can make the accuracy of the bat algorithm more accurate.Through experiments,it is proved that the improved bat algorithm is superior to the traditional bat algorithm in convergence speed.In the experimental environment of this paper,the convergence effect of the improved bat algorithm is better than that of genetic algorithm and particle swarm algorithm.In order to solve the problem of waste caused by uniform plane distribution,a method of combining beamforming with visible light communication is proposed.Through the analysis and modeling of optical beam forming problems,the use of adjusted power adjustment factors is proposed to adjust the distribution of received optical power.Makes the signal concentrated in the specified area.Moreover,since the beamforming not only concentrates the current position power but also reduces the power of other positions,a multi-objective optimization and improved bat algorithm using a selective replacement algorithm is used.This algorithm solves the multi-objective optimization problem well.In addition,a static and dynamic experimental scheme of optical beamforming was also designed.The experimental results show that the signal can be concentrated by optical beam forming technology,and unnecessary waste of energy resources can be reduced.The static method can achieve power concentration.In dynamic experiments,the concentration of the received optical power can be changed as the target moves.The system can be real-time movement when the array is small.