A prototype of energy saving system for office lighting by using pso and wsn

The purpose of this study is to develop a wireless networked lighting system for office buildings, which can reduce the energy consumption while meeting users' lighting preferences. By using particle swarm optimization, the system is able to optimize the dimming ratio of luminaires according to the real time natural illumination and occupancy condition. In this paper we make a prototype system and test the feasibility and efficiency of the system. The prototype consists of one wireless control module, three illumination sensors and four fluorescent lamps with dimming capacity. The illumination sensors collect and send the data to the control module. After the process of PSO (Particle Swarm Optimization), the module finally sets the power of the lamps according to the PSO result. After real experiments in a certain designed office, it was proved that the system can successfully control the illuminations, and can save considerable energy.