{"title":"Energy-efficient resource management in Wireless Sensor Network","authors":"Hyunchul Kim, Jungsuk Kim","doi":"10.1109/WISNET.2011.5725022","DOIUrl":null,"url":null,"abstract":"This paper studies energy-efficient resource allocation schemes in Wireless Sensor Network (WSN) where sensor nodes are densely deployed on the network with infrastructure support. We first construct a network scheme and compute the energy consumption with no intelligent resource management scheme for a given quality-of-service constraint defined as Signal-to-Interference-plus-Noise Ratio (SINR). Under the SINR constraint, optimum energy saving strategies are introduced based on common and adaptive transmit power. Simulation results show that for a given channel bandwidth, minimum energy consumption can be achieved when nodes adaptively control transmit signal power depending on the channel condition.","PeriodicalId":128026,"journal":{"name":"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks","volume":"144 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISNET.2011.5725022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper studies energy-efficient resource allocation schemes in Wireless Sensor Network (WSN) where sensor nodes are densely deployed on the network with infrastructure support. We first construct a network scheme and compute the energy consumption with no intelligent resource management scheme for a given quality-of-service constraint defined as Signal-to-Interference-plus-Noise Ratio (SINR). Under the SINR constraint, optimum energy saving strategies are introduced based on common and adaptive transmit power. Simulation results show that for a given channel bandwidth, minimum energy consumption can be achieved when nodes adaptively control transmit signal power depending on the channel condition.