A novel wireless lighting control strategy using RBF neural networks and genetic algorithm

Abstract

This paper presents an intelligent lighting control system based on a wireless sensor network (WSN). The novel concept of an illuminance matrix (I-matrix) is implemented in the lighting control system of a cockpit. The I-matrix of a target working plane is obtained from some wireless photosensors through an RBF (Radial Basis Function) neural network. Then a genetic algorithm (GA) is used to optimize the distribution and the number of sensors. Calculation results show that the proposed control strategy with I-matrix is more accurate than conventional control practices. Particularly, the application of the I-matrix is useful for the scenario requiring a high quality of illuminance (e. g. a cockpit or an operation room). As a criterion of illuminance quality, the I-matrix is a potential standard for high-quality lighting design, and opens new areas of research in lighting and human factors.