{"title":"Automatic WLAN localization for industrial automation","authors":"S. Ivanov, E. Nett, S. Schemmer","doi":"10.1109/WFCS.2008.4638748","DOIUrl":null,"url":null,"abstract":"The increasing WLAN deployment in industrial environments opens possibilities for location based services such as asset-tracking and workflow optimization. This paper presents our current research to develop a WLAN-localization system that fulfils the requirements of industrial automation: scalability and 5-10 m localization accuracy. Our envisaged system produces the training data automatically using automatic measurements, and model calibration. The suggested approach avoids the effort for walk-around and extensive manual measurements and is stable under environmental changes, while still achieving an accuracy equivalent to state-of-the art technology. Preliminary evaluation shows an average accuracy of 3.7 m (12ft).","PeriodicalId":352963,"journal":{"name":"2008 IEEE International Workshop on Factory Communication Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Workshop on Factory Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WFCS.2008.4638748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
The increasing WLAN deployment in industrial environments opens possibilities for location based services such as asset-tracking and workflow optimization. This paper presents our current research to develop a WLAN-localization system that fulfils the requirements of industrial automation: scalability and 5-10 m localization accuracy. Our envisaged system produces the training data automatically using automatic measurements, and model calibration. The suggested approach avoids the effort for walk-around and extensive manual measurements and is stable under environmental changes, while still achieving an accuracy equivalent to state-of-the art technology. Preliminary evaluation shows an average accuracy of 3.7 m (12ft).