{"title":"一种实用的方法:基于rssi的节点定位估计","authors":"O. Reich, Erik Hübner, M. Wagner","doi":"10.33965/ac2019_201912c035","DOIUrl":null,"url":null,"abstract":"An optimisation in localisation estimation is proposed based on received signal strength indicator (RSSI) measurements with a wireless mesh network (WMN) for urban environment. A mean deviation of 4.73 % between measured and real distances was achieved. The WMN is based on ZigBee nodes for the usage in disaster scenarios without any infrastructure. The WMN is build up for basic navigation, internet of things (IoT) integration and sensor communication. Only six wireless mesh nodes are deployed under urban conditions and cover an area of 7.4 hectare. Noise cancelling is accomplished by an alpha-beta filter.","PeriodicalId":432605,"journal":{"name":"Proceedings of the 16th International Conference on Applied Computing 2019","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A PRACTICAL APPROACH: NODE LOCALISATION ESTIMATION BASED ON RSSI FOR DISASTER CASES\",\"authors\":\"O. Reich, Erik Hübner, M. Wagner\",\"doi\":\"10.33965/ac2019_201912c035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An optimisation in localisation estimation is proposed based on received signal strength indicator (RSSI) measurements with a wireless mesh network (WMN) for urban environment. A mean deviation of 4.73 % between measured and real distances was achieved. The WMN is based on ZigBee nodes for the usage in disaster scenarios without any infrastructure. The WMN is build up for basic navigation, internet of things (IoT) integration and sensor communication. Only six wireless mesh nodes are deployed under urban conditions and cover an area of 7.4 hectare. Noise cancelling is accomplished by an alpha-beta filter.\",\"PeriodicalId\":432605,\"journal\":{\"name\":\"Proceedings of the 16th International Conference on Applied Computing 2019\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th International Conference on Applied Computing 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/ac2019_201912c035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Applied Computing 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/ac2019_201912c035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A PRACTICAL APPROACH: NODE LOCALISATION ESTIMATION BASED ON RSSI FOR DISASTER CASES
An optimisation in localisation estimation is proposed based on received signal strength indicator (RSSI) measurements with a wireless mesh network (WMN) for urban environment. A mean deviation of 4.73 % between measured and real distances was achieved. The WMN is based on ZigBee nodes for the usage in disaster scenarios without any infrastructure. The WMN is build up for basic navigation, internet of things (IoT) integration and sensor communication. Only six wireless mesh nodes are deployed under urban conditions and cover an area of 7.4 hectare. Noise cancelling is accomplished by an alpha-beta filter.
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