Title: Design and implementation of lighting control system using battery-less wireless human detection sensor networks,
Abstract: Artificial lighting is responsible for a large portion of total energy
consumption and has great potential for energy saving. This paper designs an
LED light control algorithm based on users' localization using multiple
battery-less binary human detection sensors. The proposed lighting control
system focuses on reducing office lighting energy consumption and satisfying
users' illumination requirement. Most current lighting control systems use
infrared human detection sensors, but the poor detection probability,
especially for a static user, makes it difficult to realize comfortable and
effective lighting control. To improve the detection probability of each
sensor, we proposed to locate sensors as close to each user as possible by
using a battery-less wireless sensor network, in which all sensors can be
placed freely in the space with high energy stability. We also proposed to use
a multi-sensor-based user localization algorithm to capture user's position
more accurately and realize fine lighting control which works even with static
users. The system is actually implemented in an indoor office environment in a
pilot project. A verification experiment is conducted by measuring the
practical illumination and power consumption. The performance agrees with
design expectations. It shows that the proposed LED lighting control system
reduces the energy consumption significantly, 57% compared to the batch control
scheme, and satisfies user's illumination requirement with 100% probability.