{"title":"基于rss定位系统的模拟退火信标放置","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":"{\"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}","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}
Beacon placement using simulated annealing for RSS-based localization systems
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.