{"title":"基于rssi的定位与最小的基础设施使用多元统计技术","authors":"F. Pflaum, S. Erhardt, R. Weigel, A. Koelpin","doi":"10.1109/WISNET.2017.7878758","DOIUrl":null,"url":null,"abstract":"In this paper a new approach to localization of mobile nodes in wireless sensor networks is presented which utilizes the measurement of the received signal strength indicator by multiple receivers concentrated in a small area and applies the technique of linear discriminant analysis to the received data. The concept of gathering all receivers at a single spot provides great flexibility, while good spatial resolution is still achieved. This is demonstrated by a test network operating in the sub-GHz-range around 868 MHz.","PeriodicalId":266973,"journal":{"name":"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"RSSI-based localization with minimal infrastructure using multivariate statistic techniques\",\"authors\":\"F. Pflaum, S. Erhardt, R. Weigel, A. Koelpin\",\"doi\":\"10.1109/WISNET.2017.7878758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a new approach to localization of mobile nodes in wireless sensor networks is presented which utilizes the measurement of the received signal strength indicator by multiple receivers concentrated in a small area and applies the technique of linear discriminant analysis to the received data. The concept of gathering all receivers at a single spot provides great flexibility, while good spatial resolution is still achieved. This is demonstrated by a test network operating in the sub-GHz-range around 868 MHz.\",\"PeriodicalId\":266973,\"journal\":{\"name\":\"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISNET.2017.7878758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISNET.2017.7878758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RSSI-based localization with minimal infrastructure using multivariate statistic techniques
In this paper a new approach to localization of mobile nodes in wireless sensor networks is presented which utilizes the measurement of the received signal strength indicator by multiple receivers concentrated in a small area and applies the technique of linear discriminant analysis to the received data. The concept of gathering all receivers at a single spot provides great flexibility, while good spatial resolution is still achieved. This is demonstrated by a test network operating in the sub-GHz-range around 868 MHz.