An energy-efficient adaptive lighting control scheme using indoor localization with prior position information

We have considered an energy saving scheme in smart grid systems utilizing the indoor location information of persons derived by an accurate localization scheme. To perform the accurate location estimation, we have composed a localization scheme using ultra-wide band signals that achieves low complexity and high accuracy in both line of sight (LOS) and non-line of sight (NLOS) environments. Then, the energy saving is achieved by an adaptive limited illumination around persons with on-off switching control of lights, utilizing the location information. It can save the energy consumption to around 2/3 or 1/2 without lighting inconvenience. However, in the previous study, only the on-off switching is considered and the dimming control based on the illumination intensity at the persons is not used. Therefore, in this paper, we propose a new energy saving scheme controlling the illumination intensity in an office room, and show that the energy saving is achieved with satisfying the intensity conditions by computer simulations. In addition, we also propose an improved lighting control scheme with an improved localization information in which a prior position information is considered in location estimation of a mobile target.