Wireless Sensor Networks (WSNs) are increasingly used in different application fields thanks to several advantages such as cost-effectiveness, scalability, flexibility and selforganization. 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.
A parallel fuzzy scheme to improve power consumption management in Wireless Sensor Networks / Mario, Collotta; Gianfranco, Scatà; Salvatore, Tirrito; Ferrero, Renato; Rebaudengo, Maurizio. - ELETTRONICO. - (2014). (Intervento presentato al convegno 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) tenutosi a Barcelona (Spain) nel 16-19 September 2014) [10.1109/ETFA.2014.7005363].
A parallel fuzzy scheme to improve power consumption management in Wireless Sensor Networks
FERRERO, RENATO;REBAUDENGO, Maurizio
2014
Abstract
Wireless Sensor Networks (WSNs) are increasingly used in different application fields thanks to several advantages such as cost-effectiveness, scalability, flexibility and selforganization. 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.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2582143
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