{"title":"Beacon placement using simulated annealing for RSS-based localization systems","authors":"Soufien Kammoun, Jean-Baptiste Pothin, J. Cousin","doi":"10.1109/ISWCS.2014.6933412","DOIUrl":null,"url":null,"abstract":"Beacon placement is one of the most prominent factors that contributes to the good performance of a localization system. A common approach for assessing the quality of a placement is based on the concept of Dilution Of Precision, which states how errors in measurements will affect the localization estimation. This paper presents an extension of DOP for RSS-based systems. It formulates the beacon-placement problem as a dilution-minimization problem with additional tradeoff between uncovered areas and over radio-coverage areas. We also propose a new algorithm based on Constrained Simulated Annealing to take into account topological constraints. Simulations show the effectiveness of our approach.","PeriodicalId":431852,"journal":{"name":"2014 11th International Symposium on Wireless Communications Systems (ISWCS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Symposium on Wireless Communications Systems (ISWCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2014.6933412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Beacon placement is one of the most prominent factors that contributes to the good performance of a localization system. A common approach for assessing the quality of a placement is based on the concept of Dilution Of Precision, which states how errors in measurements will affect the localization estimation. This paper presents an extension of DOP for RSS-based systems. It formulates the beacon-placement problem as a dilution-minimization problem with additional tradeoff between uncovered areas and over radio-coverage areas. We also propose a new algorithm based on Constrained Simulated Annealing to take into account topological constraints. Simulations show the effectiveness of our approach.