{"title":"High-precision weighted Bounding Box localization algorithm for Wireless Sensor Network","authors":"Xin Shi, Linghua Zhang","doi":"10.1109/ICIST.2013.6747730","DOIUrl":null,"url":null,"abstract":"The inherent characteristics of Wireless Sensor Network (WSN) make node localization become a major challenge. A high-precision weighted Bounding Box (HPWB) algorithm is proposed to improve the localization accuracy of original Bounding Box algorithm. In HPWB algorithm, unknown nodes are divided into three categories according to the number of neighbor anchors. As for nodes in category one, a weighted method based on RSSI (Received Signal Strength Indicator) is proposed. As for category two and three, an exclusion method is presented. Simulation results show that our proposed algorithm HPWB achieves higher precision, compared with the original Bounding Box algorithm and Weighted Centroid algorithm.","PeriodicalId":415759,"journal":{"name":"2013 IEEE Third International Conference on Information Science and Technology (ICIST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Third International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2013.6747730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The inherent characteristics of Wireless Sensor Network (WSN) make node localization become a major challenge. A high-precision weighted Bounding Box (HPWB) algorithm is proposed to improve the localization accuracy of original Bounding Box algorithm. In HPWB algorithm, unknown nodes are divided into three categories according to the number of neighbor anchors. As for nodes in category one, a weighted method based on RSSI (Received Signal Strength Indicator) is proposed. As for category two and three, an exclusion method is presented. Simulation results show that our proposed algorithm HPWB achieves higher precision, compared with the original Bounding Box algorithm and Weighted Centroid algorithm.
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