{"title":"Simulated annealing based localization in wireless sensor network","authors":"A. Kannan, Guoqiang Mao, B. Vucetic","doi":"10.1109/LCN.2005.125","DOIUrl":null,"url":null,"abstract":"In sensor networks, the information obtained from sensors are meaningless without the location information. In this paper, we propose a simulated annealing based localization (SAL) scheme for wireless sensor networks. Simulated annealing (SA) is used to estimate the approximate solution to combinatorial optimization problems. The SAL scheme can bring the convergence out of the local minima in a controlled fashion. Simulation results show that this scheme gives accurate and consistent location estimates of the nodes","PeriodicalId":368269,"journal":{"name":"The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"97","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2005.125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 97
Abstract
In sensor networks, the information obtained from sensors are meaningless without the location information. In this paper, we propose a simulated annealing based localization (SAL) scheme for wireless sensor networks. Simulated annealing (SA) is used to estimate the approximate solution to combinatorial optimization problems. The SAL scheme can bring the convergence out of the local minima in a controlled fashion. Simulation results show that this scheme gives accurate and consistent location estimates of the nodes