{"title":"基于方向感知节点RSSI改进的距离估计","authors":"M. Ivanic, I. Mezei","doi":"10.1109/ZINC.2018.8448660","DOIUrl":null,"url":null,"abstract":"Received signal strength indicator (RSSI) is widely used as an indicator that could be used for distance estimation between two nodes. However, many factors influence on the accuracy of RSSI ranging (e.g. antenna radiation pattern, reflections, obstacles etc.). Hence, RSSI alone is rarely used as a tool for precise distance measurement. In this paper, an improvement of RSSI ranging based on finding the best node orientation is presented. The experimental results are obtained using IRIS wireless sensor network nodes for outdoor and indoor scenarios. It is shown that lower bounds for the relative distance estimation accuracy, using curve fitting for the best orientation outdoor and indoor scenario, are 91% and 57%, respectively.","PeriodicalId":366195,"journal":{"name":"2018 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Distance Estimation Based on RSSI Improvements of Orientation Aware Nodes\",\"authors\":\"M. Ivanic, I. Mezei\",\"doi\":\"10.1109/ZINC.2018.8448660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Received signal strength indicator (RSSI) is widely used as an indicator that could be used for distance estimation between two nodes. However, many factors influence on the accuracy of RSSI ranging (e.g. antenna radiation pattern, reflections, obstacles etc.). Hence, RSSI alone is rarely used as a tool for precise distance measurement. In this paper, an improvement of RSSI ranging based on finding the best node orientation is presented. The experimental results are obtained using IRIS wireless sensor network nodes for outdoor and indoor scenarios. It is shown that lower bounds for the relative distance estimation accuracy, using curve fitting for the best orientation outdoor and indoor scenario, are 91% and 57%, respectively.\",\"PeriodicalId\":366195,\"journal\":{\"name\":\"2018 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ZINC.2018.8448660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC.2018.8448660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
摘要
接收信号强度指标(Received signal strength indicator, RSSI)作为一种可用于估计两个节点之间距离的指标被广泛使用。然而，影响RSSI测距精度的因素很多(如天线辐射方向图、反射、障碍物等)。因此，RSSI很少单独用作精确距离测量的工具。本文提出了一种基于寻找最佳节点方向的RSSI测距改进方法。利用IRIS无线传感器网络节点在室外和室内两种场景下进行了实验。结果表明，在最佳方向的室外和室内场景下，曲线拟合的相对距离估计精度下限分别为91%和57%。
Distance Estimation Based on RSSI Improvements of Orientation Aware Nodes
Received signal strength indicator (RSSI) is widely used as an indicator that could be used for distance estimation between two nodes. However, many factors influence on the accuracy of RSSI ranging (e.g. antenna radiation pattern, reflections, obstacles etc.). Hence, RSSI alone is rarely used as a tool for precise distance measurement. In this paper, an improvement of RSSI ranging based on finding the best node orientation is presented. The experimental results are obtained using IRIS wireless sensor network nodes for outdoor and indoor scenarios. It is shown that lower bounds for the relative distance estimation accuracy, using curve fitting for the best orientation outdoor and indoor scenario, are 91% and 57%, respectively.
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