{"title":"基于支持向量机的移动无线传感器网络可靠性仿真","authors":"Rong Shan, Tao Li","doi":"10.1109/CIS2018.2018.00066","DOIUrl":null,"url":null,"abstract":"The nodes of mobile wireless sensor network have mobility, which leads to the change of network topology and signal strength. Therefore, the reliability of network service quality in mobile wireless sensor network has higher requirements. In the paper, the support vector machine (SVM) algorithm is used to identify and simulate faults in the mobile wireless sensor network, which can quickly locate fault nodes, thus providing guarantee for solving network faults and improving network reliability timely.","PeriodicalId":185099,"journal":{"name":"2018 14th International Conference on Computational Intelligence and Security (CIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reliability Simulation of Mobile Wireless Sensor Networks Based on Support Vector Machines\",\"authors\":\"Rong Shan, Tao Li\",\"doi\":\"10.1109/CIS2018.2018.00066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The nodes of mobile wireless sensor network have mobility, which leads to the change of network topology and signal strength. Therefore, the reliability of network service quality in mobile wireless sensor network has higher requirements. In the paper, the support vector machine (SVM) algorithm is used to identify and simulate faults in the mobile wireless sensor network, which can quickly locate fault nodes, thus providing guarantee for solving network faults and improving network reliability timely.\",\"PeriodicalId\":185099,\"journal\":{\"name\":\"2018 14th International Conference on Computational Intelligence and Security (CIS)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 14th International Conference on Computational Intelligence and Security (CIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS2018.2018.00066\",\"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 14th International Conference on Computational Intelligence and Security (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS2018.2018.00066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability Simulation of Mobile Wireless Sensor Networks Based on Support Vector Machines
The nodes of mobile wireless sensor network have mobility, which leads to the change of network topology and signal strength. Therefore, the reliability of network service quality in mobile wireless sensor network has higher requirements. In the paper, the support vector machine (SVM) algorithm is used to identify and simulate faults in the mobile wireless sensor network, which can quickly locate fault nodes, thus providing guarantee for solving network faults and improving network reliability timely.