Design and implementation of power-aware LED light enabler with location-aware adaptive middleware and context-aware user pattern

Recent advances in ubiquitous technologies facilitate location-aware and power-aware systems that can provide predefined services. Recent research efforts are based on control mechanisms for standby power reduction. Conventional systems are only designed for power reduction of the consumer electronics. However, due to their architectural limitations, the recent systems are not flexible with respect to LED light control for power reduction. We need to consider efficient autonomous power control based on intelligent devices and the power-aware service prediction in networked environments. In this paper, we propose a power-aware LED light enabler with light sensors, motion sensors and network interfaces. The LED light enabler also communicates with context-aware middleware using an intelligent power gateway that adaptively determines the optimal power control by analyzing user living patterns using sensing data obtained by devices. Our power-aware LED light enabler with adaptive middleware dynamically reconfigures the power-aware services. The proposed adaptive middleware facilitates the learning mechanism which analyzes the illumination and the user activity, and controls the LED lights only when users exist around the devices. Our enabler reduces power consumption up to 58% in comparison to a basic lighting system at the real office testbed.