Intelligent lighting control using sensor networks

Abstract

Networked lighting systems enable advanced light delivery in a variety of settings, including office, outdoor and home. These systems improve user perception and also allow for important energy reduction by having presence-depending task lighting and incorporating daylight dynamics. However, the high scalability of these new systems leads to two main challenges: (i) the effortless installation of the system itself, and (ii) the control strategy of the networked lighting system. In this context, this paper presents an innovative approach to networked lighting control systems that allows overcoming these challenges in both distributed and centralized systems while optimizing energy consumption. Distributed approaches deserve our special attention due to their inherent simplicity for system deployment. Our analysis shows the feasibility of our underlying model for automatic learning of system parameters and autonomous system control.