Scalable Multipurpose Smart Indoor Lighting System for Wireless Sensor Networks

In this paper, a multipurpose and scalable smart lighting control system for indoor environments developed and implemented for wireless sensors networks (WSNs). The main goal of the developed control system is to improve both security and user visual comfort. The Artificial intelligence of Neural Networks (NNs) are employed to model the system. The lighting system is modeled using the feedforward neural network. According to the desired lighting conditions (the maintained illuminance and illuminance uniformity), the luminaires dimming levels are determined. The user data is entered to the system via a touch panel and the user is warned by text messages and emails. The designed system is implemented in a real test environment and the experimental results show 98% accuracy in determination of the maintained illuminance and illuminance uniformity in the indoor test area.