{"title":"Confounded factor effects on battery life in wireless sensor networks","authors":"N. Xu, K. Subbu, Shijun Tang","doi":"10.1109/ICDIM.2009.5356794","DOIUrl":null,"url":null,"abstract":"Widely utilized for numerous applications, wireless sensor networks have become a boon to the academia and industrial communities. However, the stringent energy constraints place a hurdle to the continuous functioning of the sensing devices. Clustering a network leads to a lesser number of nodes participating in active transmissions. Data aggregation reduces redundant packet sending. Given that transmission is the primary energy consuming activity for a sensor mote, this paper exploits the joint advantages of clustering and data aggregation in decreasing communication cost. A data centric analysis was performed to justify the use of data aggregation. Experimental results on a realistic platform with MICAz motes running TinyOS embedded system showed 22% energy savings and 13% overhead reduction, confirming the attractive advantages of data aggregation and clustering such as more efficient transmissions.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2009.5356794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Widely utilized for numerous applications, wireless sensor networks have become a boon to the academia and industrial communities. However, the stringent energy constraints place a hurdle to the continuous functioning of the sensing devices. Clustering a network leads to a lesser number of nodes participating in active transmissions. Data aggregation reduces redundant packet sending. Given that transmission is the primary energy consuming activity for a sensor mote, this paper exploits the joint advantages of clustering and data aggregation in decreasing communication cost. A data centric analysis was performed to justify the use of data aggregation. Experimental results on a realistic platform with MICAz motes running TinyOS embedded system showed 22% energy savings and 13% overhead reduction, confirming the attractive advantages of data aggregation and clustering such as more efficient transmissions.