{"title":"无线传感器网络中基于RSSI的节点定位算法","authors":"Wang Suzhe, Li Yong","doi":"10.1109/ICSPCS.2012.6507963","DOIUrl":null,"url":null,"abstract":"In order to reduce the effect on node positioning accuracy due to received signal strength (RSSI) fluctuation in wireless sensor network (WSN), a grid localization algorithm based on RSSI probability distribution is proposed. From analyzing the wireless propagation channel model, it divides the location area into grids. Through comparing the value of RSSI probability likelihood function in grid, the location of the unknown node is obtained. The simulation result shows that this algorithm could effectively improve the performance of positioning accuracy and have better stability.","PeriodicalId":261348,"journal":{"name":"International Conference on Signal Processing and Communication Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Node localization algorithm based on RSSI in wireless sensor network\",\"authors\":\"Wang Suzhe, Li Yong\",\"doi\":\"10.1109/ICSPCS.2012.6507963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to reduce the effect on node positioning accuracy due to received signal strength (RSSI) fluctuation in wireless sensor network (WSN), a grid localization algorithm based on RSSI probability distribution is proposed. From analyzing the wireless propagation channel model, it divides the location area into grids. Through comparing the value of RSSI probability likelihood function in grid, the location of the unknown node is obtained. The simulation result shows that this algorithm could effectively improve the performance of positioning accuracy and have better stability.\",\"PeriodicalId\":261348,\"journal\":{\"name\":\"International Conference on Signal Processing and Communication Systems\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Signal Processing and Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCS.2012.6507963\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Signal Processing and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCS.2012.6507963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Node localization algorithm based on RSSI in wireless sensor network
In order to reduce the effect on node positioning accuracy due to received signal strength (RSSI) fluctuation in wireless sensor network (WSN), a grid localization algorithm based on RSSI probability distribution is proposed. From analyzing the wireless propagation channel model, it divides the location area into grids. Through comparing the value of RSSI probability likelihood function in grid, the location of the unknown node is obtained. The simulation result shows that this algorithm could effectively improve the performance of positioning accuracy and have better stability.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
