Xiaoyong Yan, Ya Huang, Huan-yan Qian, Zhi-yang Jiang
{"title":"A high accuracy localization based on RSSI measurements","authors":"Xiaoyong Yan, Ya Huang, Huan-yan Qian, Zhi-yang Jiang","doi":"10.1109/CECNET.2011.5768693","DOIUrl":null,"url":null,"abstract":"The location methods based on RSSI measurements are popular because the signal acquirement is convenient, cheap and low power consumption. However, the location results based on RSSI are not very stable since the variations of the environment of the sensor nodes. A high accurate location method based on RSSI measurement is proposed to overcome the sensor nodes position random and the noise from the complex environments. The proposed method max improves the location accuracy in both the location stage and the coordinate calculation stage. Theoretical analysis and simulation results show that the proposed method has better performance than the other similar algorithms.","PeriodicalId":375482,"journal":{"name":"2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CECNET.2011.5768693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The location methods based on RSSI measurements are popular because the signal acquirement is convenient, cheap and low power consumption. However, the location results based on RSSI are not very stable since the variations of the environment of the sensor nodes. A high accurate location method based on RSSI measurement is proposed to overcome the sensor nodes position random and the noise from the complex environments. The proposed method max improves the location accuracy in both the location stage and the coordinate calculation stage. Theoretical analysis and simulation results show that the proposed method has better performance than the other similar algorithms.