{"title":"Performance analysis of the EDCR algorithm in a distributed wireless sensor network","authors":"S. Gamwarige, C. Kulasekere","doi":"10.1109/WOCN.2006.1666547","DOIUrl":null,"url":null,"abstract":"The energy driven cluster-head rotation (EDCR) algorithm proposed in S. Gamwarige and E. Kulasekere (2005) has been shown to out performed existing clustering algorithms such as LEACH (W.B. Heinzelman et al., 2002), HEED (O. Younis and S. Fahmy, 2004), ANTCLUST based (J. Kamimura et al., 2004) and SEP (G. Smaragdakis et al., 2004) in terms of END and PNA (95%) lifetime metrics in a distributed wireless sensor network (WSN). In this paper we present theoretical analysis of the performance parameters such as the optimum transmission range (Ropt) and the clustering trigger threshold value (lambdai) of EDCR in terms correctness and complexity of the algorithm. Further we explain how to find the optimal values for such parameters in order to maximize the network lifetime","PeriodicalId":275012,"journal":{"name":"2006 IFIP International Conference on Wireless and Optical Communications Networks","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IFIP International Conference on Wireless and Optical Communications Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2006.1666547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The energy driven cluster-head rotation (EDCR) algorithm proposed in S. Gamwarige and E. Kulasekere (2005) has been shown to out performed existing clustering algorithms such as LEACH (W.B. Heinzelman et al., 2002), HEED (O. Younis and S. Fahmy, 2004), ANTCLUST based (J. Kamimura et al., 2004) and SEP (G. Smaragdakis et al., 2004) in terms of END and PNA (95%) lifetime metrics in a distributed wireless sensor network (WSN). In this paper we present theoretical analysis of the performance parameters such as the optimum transmission range (Ropt) and the clustering trigger threshold value (lambdai) of EDCR in terms correctness and complexity of the algorithm. Further we explain how to find the optimal values for such parameters in order to maximize the network lifetime