{"title":"无线传感器网络IROS时间同步算法研究","authors":"Tianyu Zhang, Guifen. Chen","doi":"10.1109/CISP-BMEI.2016.7852903","DOIUrl":null,"url":null,"abstract":"A number of other important tasks can not be effectively carried out without proper time synchronization in wireless sensor networks. So time synchronization is an important part of wireless sensor network, and it has high research value. In this paper, an improved IROS synchronization algorithm is proposed based on the study of ROS synchronization protocol. By studying the correlation between the random components of different time points in the ROS algorithm, and the use of generalized least squares method to estimate model parameters. Thus, improve the accuracy of the time, and enhances the robustness of the algorithm, to achieve the purpose of optimization. The simulation results show that the IROS algorithm is less than ROS algorithm, and the average error ratio is 10 µs, and IROS broader scope, more robust.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on IROS time synchronization algorithm for wireless sensor networks\",\"authors\":\"Tianyu Zhang, Guifen. Chen\",\"doi\":\"10.1109/CISP-BMEI.2016.7852903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A number of other important tasks can not be effectively carried out without proper time synchronization in wireless sensor networks. So time synchronization is an important part of wireless sensor network, and it has high research value. In this paper, an improved IROS synchronization algorithm is proposed based on the study of ROS synchronization protocol. By studying the correlation between the random components of different time points in the ROS algorithm, and the use of generalized least squares method to estimate model parameters. Thus, improve the accuracy of the time, and enhances the robustness of the algorithm, to achieve the purpose of optimization. The simulation results show that the IROS algorithm is less than ROS algorithm, and the average error ratio is 10 µs, and IROS broader scope, more robust.\",\"PeriodicalId\":275095,\"journal\":{\"name\":\"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP-BMEI.2016.7852903\",\"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 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI.2016.7852903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on IROS time synchronization algorithm for wireless sensor networks
A number of other important tasks can not be effectively carried out without proper time synchronization in wireless sensor networks. So time synchronization is an important part of wireless sensor network, and it has high research value. In this paper, an improved IROS synchronization algorithm is proposed based on the study of ROS synchronization protocol. By studying the correlation between the random components of different time points in the ROS algorithm, and the use of generalized least squares method to estimate model parameters. Thus, improve the accuracy of the time, and enhances the robustness of the algorithm, to achieve the purpose of optimization. The simulation results show that the IROS algorithm is less than ROS algorithm, and the average error ratio is 10 µs, and IROS broader scope, more robust.