TY - GEN
T1 - Energy saving system for office lighting by using PSO and ZigBee network
AU - Si, Wa
AU - Ogai, Harutoshi
AU - Li, Tansheng
AU - Ogawa, Masatoshi
AU - Hirai, Katsumi
AU - Takahashi, Hidehiro
PY - 2010
Y1 - 2010
N2 - In order to reduce the amount of wasted energy in office lighting and provide a major contribution to lowering overall energy consumption, we are developing a new energy saving system for office lighting by using adjustable lamp, ZigBee Wireless Sensor Network (WSN) and Particle Swarm Optimization (PSO). In this paper we make a prototype system which consists of one ZigBee control module, four fluorescent lamps with dimming capacity and three illumination sensors.The illumination sensors collect and send the data to the control module. After the PSO (Particle Swarm Optimization) process, the module finally sets the power of the lamps according to the PSO result. After real experiments in both sunny day and cloudy dayin a small-size office, it was proved that the system can successfully control the lights, and save considerable energy.
AB - In order to reduce the amount of wasted energy in office lighting and provide a major contribution to lowering overall energy consumption, we are developing a new energy saving system for office lighting by using adjustable lamp, ZigBee Wireless Sensor Network (WSN) and Particle Swarm Optimization (PSO). In this paper we make a prototype system which consists of one ZigBee control module, four fluorescent lamps with dimming capacity and three illumination sensors.The illumination sensors collect and send the data to the control module. After the PSO (Particle Swarm Optimization) process, the module finally sets the power of the lamps according to the PSO result. After real experiments in both sunny day and cloudy dayin a small-size office, it was proved that the system can successfully control the lights, and save considerable energy.
KW - Energy Saving System
KW - Office Lighting
KW - PSO
KW - Wireless Sensor Network
KW - ZigBee
UR - http://www.scopus.com/inward/record.url?scp=78650741137&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650741137&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17298-4_75
DO - 10.1007/978-3-642-17298-4_75
M3 - Conference contribution
AN - SCOPUS:78650741137
SN - 3642172970
SN - 9783642172977
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 667
EP - 676
BT - Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings
T2 - 8th International Conference on Simulated Evolution and Learning, SEAL 2010
Y2 - 1 December 2010 through 4 December 2010
ER -