{"title":"传感器网络中位置估计的扩展最小-最大算法","authors":"J. Robles, Javier Supervia Pola, R. Lehnert","doi":"10.1109/WPNC.2012.6268737","DOIUrl":null,"url":null,"abstract":"A localization algorithm that is often used by sensor nodes is Min-Max [1] [2]. This algorithm can be easily executed due to the fact that it principally consists of few additions, subtractions and logical comparisons. However, Min-Max provides a coarse position estimation. In our proposal we improve the accuracy of Min-Max by including simple extra operations. We compare the accuracy of our extended Min-Max (E-Min-Max) with other algorithms by using simulation.","PeriodicalId":399340,"journal":{"name":"2012 9th Workshop on Positioning, Navigation and Communication","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Extended Min-Max algorithm for position estimation in sensor networks\",\"authors\":\"J. Robles, Javier Supervia Pola, R. Lehnert\",\"doi\":\"10.1109/WPNC.2012.6268737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A localization algorithm that is often used by sensor nodes is Min-Max [1] [2]. This algorithm can be easily executed due to the fact that it principally consists of few additions, subtractions and logical comparisons. However, Min-Max provides a coarse position estimation. In our proposal we improve the accuracy of Min-Max by including simple extra operations. We compare the accuracy of our extended Min-Max (E-Min-Max) with other algorithms by using simulation.\",\"PeriodicalId\":399340,\"journal\":{\"name\":\"2012 9th Workshop on Positioning, Navigation and Communication\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 9th Workshop on Positioning, Navigation and Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WPNC.2012.6268737\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th Workshop on Positioning, Navigation and Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPNC.2012.6268737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extended Min-Max algorithm for position estimation in sensor networks
A localization algorithm that is often used by sensor nodes is Min-Max [1] [2]. This algorithm can be easily executed due to the fact that it principally consists of few additions, subtractions and logical comparisons. However, Min-Max provides a coarse position estimation. In our proposal we improve the accuracy of Min-Max by including simple extra operations. We compare the accuracy of our extended Min-Max (E-Min-Max) with other algorithms by using simulation.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
