High Resolution Visible-Light Localization in Industrial Dynamic Environment: A Robustness Approach based on the PSO Algorithm

Abstract

Response to industrial 4.0, massive devices are supposed to be equipped to collect and process a large amount of data. The high-dynamic environment is therefore created because of changes and moves of various equipments. In addition, indoor visible-light localization has attracted wide attention because of the popularity of the light-emitting diode (LED). However, most researches focus on the visible-light localization in the static environment. In this paper, we propose a high resolution visible-light localization approach in the dynamic industrial environment. This approach is based on the Particle Swarm Optimization (PSO) algorithm because it can reduce the influence of changes in a dynamic environment, but, it still be influenced. Thus, the PSO localization further supported by a neural network (NN) to achieve high and robust localization accuracy. Simulations are conducted to verify that the proposed approach has less sensitivity to environment's changes and three times coverage with localization less than 0.1 m compared to the conventional PSO algorithm.