{"title":"基于RSSI变化的车辆检测新方法及验证","authors":"X. Li, Jian Wu","doi":"10.1109/ICSENST.2016.7796238","DOIUrl":null,"url":null,"abstract":"In this paper, we offer a new type of vehicle detection method based on the strength of the signal transmission with adopting CC1101 wireless communication chip, and RSSI (Received Signal Strength Indication) value of the data receiving node is different when there is a car or no car on the parking space. Through a large number of nodes arranged on the parking space, the data receiving node sends data that includes RSSI value and parking space state information to sink node constantly. Next, sink node receives data and uploads to system monitoring terminal. The experiment results show that vehicle detection method is high of accuracy, strong robustness and good reliability.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A new method and verification of vehicles detection based on RSSI variation\",\"authors\":\"X. Li, Jian Wu\",\"doi\":\"10.1109/ICSENST.2016.7796238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we offer a new type of vehicle detection method based on the strength of the signal transmission with adopting CC1101 wireless communication chip, and RSSI (Received Signal Strength Indication) value of the data receiving node is different when there is a car or no car on the parking space. Through a large number of nodes arranged on the parking space, the data receiving node sends data that includes RSSI value and parking space state information to sink node constantly. Next, sink node receives data and uploads to system monitoring terminal. The experiment results show that vehicle detection method is high of accuracy, strong robustness and good reliability.\",\"PeriodicalId\":297617,\"journal\":{\"name\":\"2016 10th International Conference on Sensing Technology (ICST)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 10th International Conference on Sensing Technology (ICST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENST.2016.7796238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Sensing Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENST.2016.7796238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
摘要
本文采用CC1101无线通信芯片，提出了一种基于信号传输强度的新型车辆检测方法，车位上有车和无车时，数据接收节点的RSSI (Received signal strength Indication，接收信号强度指示)值是不同的。数据接收节点通过在车位上布置的大量节点，不断向汇聚节点发送包括RSSI值和车位状态信息在内的数据。然后，汇聚节点接收数据并上传到系统监控终端。实验结果表明，该方法精度高，鲁棒性强，可靠性好。
A new method and verification of vehicles detection based on RSSI variation
In this paper, we offer a new type of vehicle detection method based on the strength of the signal transmission with adopting CC1101 wireless communication chip, and RSSI (Received Signal Strength Indication) value of the data receiving node is different when there is a car or no car on the parking space. Through a large number of nodes arranged on the parking space, the data receiving node sends data that includes RSSI value and parking space state information to sink node constantly. Next, sink node receives data and uploads to system monitoring terminal. The experiment results show that vehicle detection method is high of accuracy, strong robustness and good reliability.
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