Designing adaptive lighting control algorithms for smart buildings and homes

Artificial lighting is often the main lighting provision for workplaces. This paper describes algorithms for optimizing lighting control in large (smart) buildings that are extensible to smart home use. Systems that provide uniform lighting, under varying outdoor light levels, at occupied locations turns out to be a hard problem. We present methods that work as generic control algorithms and are not preprogrammed for a particular building. Our system uses wireless sensors and wired actuators for the lighting control. But the system does not know about locations and correlations between lights and sensors. The model shows that the control problem is NP-Hard. A heuristic algorithm is proposed and validated to solve the problem to compute approximate optimal solution.