M. Collotta, G. Scatà, S. Tirrito, R. Ferrero, M. Rebaudengo
{"title":"A parallel fuzzy scheme to improve power consumption management in Wireless Sensor Networks","authors":"M. Collotta, G. Scatà, S. Tirrito, R. Ferrero, M. Rebaudengo","doi":"10.1109/ETFA.2014.7005363","DOIUrl":null,"url":null,"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.","PeriodicalId":20477,"journal":{"name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2014.7005363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
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.