{"title":"一种基于rssi的定位算法的有效标定方法","authors":"Rafael Pires, Leo Wanner, A. Frôhlich","doi":"10.1109/INDIN.2008.4618282","DOIUrl":null,"url":null,"abstract":"Position awareness is a desirable feature for many applications of Wireless Sensor Networks. The Received Signal Strength Indication of a radio channel provides a feasible way of estimating distance between nodes because its use doesnpsilat require any additional hardware but a radio transceiver. The main drawback of using RSSI is its instability and interference susceptibleness noticed in real environments. This work shows an evaluation of a location algorithm for wireless sensor networks and presents a new calibration approach that substantially improves the trustworthiness in its results. The results show that adequately adjusted RSSI measurements can be successfully used for localization in wireless sensor networks.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"An efficient calibration method for RSSI-based location algorithms\",\"authors\":\"Rafael Pires, Leo Wanner, A. Frôhlich\",\"doi\":\"10.1109/INDIN.2008.4618282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Position awareness is a desirable feature for many applications of Wireless Sensor Networks. The Received Signal Strength Indication of a radio channel provides a feasible way of estimating distance between nodes because its use doesnpsilat require any additional hardware but a radio transceiver. The main drawback of using RSSI is its instability and interference susceptibleness noticed in real environments. This work shows an evaluation of a location algorithm for wireless sensor networks and presents a new calibration approach that substantially improves the trustworthiness in its results. The results show that adequately adjusted RSSI measurements can be successfully used for localization in wireless sensor networks.\",\"PeriodicalId\":112553,\"journal\":{\"name\":\"2008 6th IEEE International Conference on Industrial Informatics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 6th IEEE International Conference on Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIN.2008.4618282\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 6th IEEE International Conference on Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2008.4618282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient calibration method for RSSI-based location algorithms
Position awareness is a desirable feature for many applications of Wireless Sensor Networks. The Received Signal Strength Indication of a radio channel provides a feasible way of estimating distance between nodes because its use doesnpsilat require any additional hardware but a radio transceiver. The main drawback of using RSSI is its instability and interference susceptibleness noticed in real environments. This work shows an evaluation of a location algorithm for wireless sensor networks and presents a new calibration approach that substantially improves the trustworthiness in its results. The results show that adequately adjusted RSSI measurements can be successfully used for localization in wireless sensor networks.