DocumentCode :
2347566
Title :
Designing the Lighting Control System Based on WSN with Optimization of Decision Making Algorithm
Author :
Mohamaddoust, Reza ; Haghighat, Abolfazl Toroghi ; Kafash, Mansoureh ; Sharif, Mohamad Javad Motahari
Author_Institution :
Faculity of Electr., Comput. & IT Eng., Qazvin Islamic Azad Univ., Qazvin, Iran
fYear :
2010
fDate :
26-28 Nov. 2010
Firstpage :
279
Lastpage :
283
Abstract :
Recently, wireless sensor networks are used in an expanded bulk of utilizations. In this research, a lighting control system is proposed on basis of wireless sensor networks named LACS (Lighting Automatic Control System). This system with the ability of explaining the users´ activities, in addition to providing the needed lighting which provides the satisfaction of users, will provide energy saving and management. In this paper the particles of LACS, their way of relationship, and decision making algorithm are discussed. Meanwhile algorithm prevents waste of energy by reduction of relation with sensors at the time of decision making. The possibility of collecting information for offering various reports, and the possibility of regulating the accuracy level of the system are other facilities of the proposed system. Finally there is a real scenario offered on the proposed system and system assessment according to the production level of lighting intensity and the level of system accuracy is done.
Keywords :
decision making; energy management systems; lighting control; optimisation; wireless sensor networks; WSN; decision making algorithm; energy management; energy saving; energy waste; lighting automatic control system design; lighting intensity; optimization; production level; system accuracy; system assessment; user satisfaction; wireless sensor networks; Control; Light Sensing; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4244-8653-3
Electronic_ISBN :
978-0-7695-4254-6
Type :
conf
DOI :
10.1109/CICN.2010.65
Filename :
5701979
Link To Document :
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