{"title":"Two-Phase Stochastic Optimization to Sensor Network Localization","authors":"M. Marks, E. Niewiadomska-Szynkiewicz","doi":"10.1109/SENSORCOMM.2007.101","DOIUrl":null,"url":null,"abstract":"In this paper we describe a novel approach to sensor network localization, i.e., two-phase algorithms based on simulated annealing and genetic algorithm. The numerical results presented and discussed in the final part of the paper show that these novel schemes give accurate and consistent location estimates of the nodes in the network. The performance is better and speed is faster than that of the semidefinite programming (SDP) and one-phase simulated annealing (SA).","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORCOMM.2007.101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39
Abstract
In this paper we describe a novel approach to sensor network localization, i.e., two-phase algorithms based on simulated annealing and genetic algorithm. The numerical results presented and discussed in the final part of the paper show that these novel schemes give accurate and consistent location estimates of the nodes in the network. The performance is better and speed is faster than that of the semidefinite programming (SDP) and one-phase simulated annealing (SA).
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
