{"title":"Optimization of least-squares localization algorithm in WSN","authors":"Zhan Yu-ting, Tan Zhi","doi":"10.1109/CCDC.2014.6852533","DOIUrl":null,"url":null,"abstract":"Network node positioning technology is one of the important supporting technologies in the practical application of wireless sensor. In order to overcome the measurement error of the least squares method for wireless sensor networks (WSNs) node affect their positioning accuracy, an improved positioning algorithm least squares(LS) is proposed. In order to obtain the optimal reference node, the algorithm based on the conventional least squares location algorithm to correct bad nodes. The simulation results show that the algorithm can effectively filter large node localization errors. The positioning accuracy is significantly improved.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 26th Chinese Control and Decision Conference (2014 CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2014.6852533","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
Network node positioning technology is one of the important supporting technologies in the practical application of wireless sensor. In order to overcome the measurement error of the least squares method for wireless sensor networks (WSNs) node affect their positioning accuracy, an improved positioning algorithm least squares(LS) is proposed. In order to obtain the optimal reference node, the algorithm based on the conventional least squares location algorithm to correct bad nodes. The simulation results show that the algorithm can effectively filter large node localization errors. The positioning accuracy is significantly improved.
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