Prototyping study demonstrates an adaptive indoor lighting system balancing user activity demands and energy optimization, indicating enhanced feasibility for intelligent buildings.
Abstract—Recently, wireless sensor networks (WSNs) have been widely discussed in many applications. In this paper, we propose a WSN-based intelligent light control system for indoor environments. Wireless sensors are responsible for measuring cur-rent illuminations. Two kinds of lighting devices, namely, whole lighting and local lighting devices, are used to provide background and concentrated illuminations, respectively. Users may have various illumination requirements according to their activities and profiles. An illumination requirement is as the combination of background and concentrated illumination demands and users’ locations. We consider two requirement models, namely, binary satisfaction and continuous satisfaction models, and propose two decision algorithms to determine the proper illuminations of devices and to achieve the desired optimization goals. Then, a closed-loop device control algorithm is applied to adjust the illu-mination levels of lighting devices. The prototyping results verify that our ideas are practical and feasible. Index Terms—Intelligent buildings, light control, pervasive com-puting, wireless communication, wireless sensor network. I.
No takes yet. Share an insight, caveat, or question.
Pan et al. (2008) studied this question.