Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor Networks

Abstract

SUMMARYArtificial 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. key words: proof-of-concept, energy saving, LED light control, battery-less wireless human detection sensor network, multi-sensor user localization

A Guide of Fingerprint Based Radio Emitter Localization Using Multiple Sensors

“…In this section, a localized light control system in BEMS using location information of peoples estimated by distributed wireless infrared (IR) human detection sensors is introduced [32]. IR sensors have been widely used for localization applications in BEMS due to its high energy efficiency and cost performance, but the poor sensing capability makes it difficult to support accurate localization information for effective control applications.…”

“…Application-specific requirements on accuracy and cost are also summarized and categorized in the table. The first application is localization of LTE smart phone used for anti-cheating detection in exams [30], the second application is indoor localization of Wi-Fi terminals [31], the third application is light control in BEMS using location information of people [32], and the last application is illegal radio localization in outdoor environments [33]. Based on the different given conditions in different applications such as knowledge of target signals, different pattern matching algorithms can be designed to enhance the localization performance.…”