{"title":"无线传感器网络的自定位研究","authors":"Xirong Bao, Shi Zhang, Dingyu Xue","doi":"10.1109/ICESS.2008.33","DOIUrl":null,"url":null,"abstract":"Self-localization is a key function in wireless sensor networks (WSNs). Many applications and internal mechanisms require nodes to know their location. Based on two different application environments and from the view of anchor nodes density, this paper proposes two new algorithms for distributed cooperative localization: Centroid-based with Preplaced Beacon Localization and Centroid-based with Scalable Node Localization. Both of them are simulated and analyzed in a two-dimensional (2-D) space simulation model of Matlab.","PeriodicalId":278372,"journal":{"name":"2008 International Conference on Embedded Software and Systems","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Research on the Self-localization of Wireless Sensor Networks\",\"authors\":\"Xirong Bao, Shi Zhang, Dingyu Xue\",\"doi\":\"10.1109/ICESS.2008.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Self-localization is a key function in wireless sensor networks (WSNs). Many applications and internal mechanisms require nodes to know their location. Based on two different application environments and from the view of anchor nodes density, this paper proposes two new algorithms for distributed cooperative localization: Centroid-based with Preplaced Beacon Localization and Centroid-based with Scalable Node Localization. Both of them are simulated and analyzed in a two-dimensional (2-D) space simulation model of Matlab.\",\"PeriodicalId\":278372,\"journal\":{\"name\":\"2008 International Conference on Embedded Software and Systems\",\"volume\":\"153 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Embedded Software and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESS.2008.33\",\"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 International Conference on Embedded Software and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESS.2008.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Self-localization of Wireless Sensor Networks
Self-localization is a key function in wireless sensor networks (WSNs). Many applications and internal mechanisms require nodes to know their location. Based on two different application environments and from the view of anchor nodes density, this paper proposes two new algorithms for distributed cooperative localization: Centroid-based with Preplaced Beacon Localization and Centroid-based with Scalable Node Localization. Both of them are simulated and analyzed in a two-dimensional (2-D) space simulation model of Matlab.