DocumentCode :
1792852
Title :
A parallel fuzzy scheme to improve power consumption management in Wireless Sensor Networks
Author :
Collotta, Mario ; Scata, Gianfranco ; Tirrito, Salvatore ; Ferrero, Renato ; Rebaudengo, Maurizio
Author_Institution :
Lab. di Ing. Telematica, Univ. degli Studi di Enna, Kore, Italy
fYear :
2014
fDate :
16-19 Sept. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Wireless Sensor Networks (WSNs) are increasingly used in different application fields thanks to several advantages such as cost-effectiveness, scalability, flexibility and self-organization. A hot research topic concerns the study of algorithms and mechanisms for reducing the power consumption of the nodes in order to maximize their lifetime. To this end, this paper proposes an approach based on two fuzzy controllers that determine the sleeping time and the transmission power. Simulation results reveal that the device lifetime is increased by 30% with respect to the use of fixed sleeping time and transmission power and by 25% with respect to a state-of-the-art work that adjusts only the sleeping time.
Keywords :
fuzzy control; telecommunication network management; telecommunication power management; wireless sensor networks; WSN lifetime maximization; fuzzy controller; parallel fuzzy scheme; power consumption management improvement; power consumption reduction; power transmission; wireless sensor network; Batteries; Fuzzy logic; IEEE 802.15 Standards; Mathematical model; Media Access Protocol; Power demand; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/ETFA.2014.7005363
Filename :
7005363
Link To Document :
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