{"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}
引用次数: 15
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.