Deployment of LED light control system using battery-less wireless human detection sensor networks

A LED light control system based on user´s location using battery-less human detection sensor networks is designed and implemented in an indoor office environment to satisfy user´s luminance requirement and reduce office´s lighting energy consumption. In order to achieve high energy stability, easy maintenance and flexible deployment, all sensors are battery-less and activated by wireless energy transmitters embedded in LED ceiling lights, so that sensors can be located freely in the room. The system employs low energy-cost binary infrared human detection sensors, which however has large false detection errors. Therefore we deploy a distributed set of sensors, and user´s motion is detected, tracked and predicted by a maximum likelihood algorithm only using sensing data from the multiple sensors. LED lights´ switch states are controlled based on the likelihood map and required luminance. Experiment results confirm that our light control system can reduce the energy consumption significantly and satisfy user´s luminance requirement with 100% probability.