{"title":"Localization Algorithm Based on Difference Estimation for Wireless Sensor Networks","authors":"Fugen Su, Weizheng Ren, Hongli Jin","doi":"10.1109/ICCSN.2009.129","DOIUrl":null,"url":null,"abstract":"In order to suppress effectively the effects of RSSI error to wireless sensor networks node localization’s precision, individual diversity difference coefficient, distance difference coefficient and distance difference localization equation is defined based on the analysis of the models of maximum likelihood estimation and RSSI¿The closest beaconing node to object node as reference node corrects measure distance based on RSSI by difference method. A distance difference localization algorithm is put forward through combining difference correction method and maximum likelihood estimation method. This localization algorithm needn’t additional hardware spending, easy to be realized and its localization error is less than 2.5m, therefore it is fit for localization of WSN node whose operation ability and power supply are restricted.","PeriodicalId":177679,"journal":{"name":"2009 International Conference on Communication Software and Networks","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Communication Software and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2009.129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
In order to suppress effectively the effects of RSSI error to wireless sensor networks node localization’s precision, individual diversity difference coefficient, distance difference coefficient and distance difference localization equation is defined based on the analysis of the models of maximum likelihood estimation and RSSI¿The closest beaconing node to object node as reference node corrects measure distance based on RSSI by difference method. A distance difference localization algorithm is put forward through combining difference correction method and maximum likelihood estimation method. This localization algorithm needn’t additional hardware spending, easy to be realized and its localization error is less than 2.5m, therefore it is fit for localization of WSN node whose operation ability and power supply are restricted.