Energy saving system for office lighting by using PSO and ZigBee network

Wa Si; Harutoshi Ogai; Tansheng Li; Masatoshi Ogawa; Katsumi Hirai; Hidehiro Takahashi

doi:10.1007/978-3-642-17298-4_75

Energy saving system for office lighting by using PSO and ZigBee network

Wa Si^*, Harutoshi Ogai, Tansheng Li, Masatoshi Ogawa, Katsumi Hirai, Hidehiro Takahashi

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings
Pages	667-676
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-17298-4_75
Publication status	Published - 2010
Event	8th International Conference on Simulated Evolution and Learning, SEAL 2010 - Kanpur, India Duration: 2010 Dec 1 → 2010 Dec 4

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6457 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Simulated Evolution and Learning, SEAL 2010
Country/Territory	India
City	Kanpur
Period	10/12/1 → 10/12/4

Keywords

Energy Saving System
Office Lighting
PSO
Wireless Sensor Network
ZigBee

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-642-17298-4_75

Cite this

Si, W., Ogai, H., Li, T., Ogawa, M., Hirai, K., & Takahashi, H. (2010). Energy saving system for office lighting by using PSO and ZigBee network. In Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings (pp. 667-676). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6457 LNCS). https://doi.org/10.1007/978-3-642-17298-4_75

Energy saving system for office lighting by using PSO and ZigBee network. / Si, Wa; Ogai, Harutoshi; Li, Tansheng et al.
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings. 2010. p. 667-676 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6457 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Si, W, Ogai, H, Li, T, Ogawa, M, Hirai, K & Takahashi, H 2010, Energy saving system for office lighting by using PSO and ZigBee network. in Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6457 LNCS, pp. 667-676, 8th International Conference on Simulated Evolution and Learning, SEAL 2010, Kanpur, India, 10/12/1. https://doi.org/10.1007/978-3-642-17298-4_75

Si W, Ogai H, Li T, Ogawa M, Hirai K, Takahashi H. Energy saving system for office lighting by using PSO and ZigBee network. In Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Proceedings. 2010. p. 667-676. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-17298-4_75

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abstract = "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.",

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AU - Takahashi, Hidehiro

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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.

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Energy saving system for office lighting by using PSO and ZigBee network

Abstract

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Keywords

ASJC Scopus subject areas

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