Adaptive Smart Lighting Control based on Genetic Algorithm

Smart lighting system plays an important role in smart homes because of its convenience comparing with boring and tedious on/off switches. With conventional smart lighting systems, users can easily change the lighting level of a room with a smart phone or voice control device. However, design an automated lighting system with energy saving is still a challenge. In this paper, we propose an adaptive smart lighting system using a control algorithm based on Genetic Algorithm (GA). Our system turns on and off lights that match the user's desire brightness and utilizes nature illuminance efficiently to save as much electric energy as possible. The control algorithm based on GA provides the optimized light turning pattern to the system and can adapt with the change of lighting environment and user requirement. Our evaluation results showed that the execution time of our algorithm is short enough to be used in real environment.