Optimization lighting layout of indoor visible light communication system based on improved artificial fish swarm algorithm

The layout of LED lamps plays an important role in indoor visible light communication systems, especially the uniformity of received optical power on the communication plane. In order to search an optimized layout that provides better communication performance, an improved artificial fish swarm algorithm (IAFSA) is proposed. In IAFSA, an artificial fish denotes the position of an LED that includes a pair of abscissa and ordinate. The order method based on exchanging list during the action of preying increases the population diversity, and adopt of an adaptive moving during the action of random move enhances the ability of global search and search efficiency, which ensures the convergence of IAFSA. Simultaneously, we establish objective function based on the mean square error of received optical power distribution for optimizing layout. Comparing the square layout, rectangular layout and circular layout with the IAFSA optimized layout, the power uniformity augments increases by 39.8%, 54.4% and 40.1%, respectively. The experiment results show that IAFSA is a feasible and valid intelligent optimization algorithm, and it can realize speedy optimized layout.