{"title":"基于数据挖掘机制的无线传感器网络数据包抗损伤分析","authors":"Jinsuk Baek, P. Fisher","doi":"10.1109/IE.2017.27","DOIUrl":null,"url":null,"abstract":"Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis technique with partially damaged data. In this paper, we introduce a data mining mechanism and apply it to the processing of data which are missing or inconsistent.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Packet Damage-Resistant Analysis Using a Data Mining Mechanism in Wireless Sensor Networks\",\"authors\":\"Jinsuk Baek, P. Fisher\",\"doi\":\"10.1109/IE.2017.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis technique with partially damaged data. In this paper, we introduce a data mining mechanism and apply it to the processing of data which are missing or inconsistent.\",\"PeriodicalId\":306693,\"journal\":{\"name\":\"2017 International Conference on Intelligent Environments (IE)\",\"volume\":\"302 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Intelligent Environments (IE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IE.2017.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Intelligent Environments (IE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IE.2017.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Packet Damage-Resistant Analysis Using a Data Mining Mechanism in Wireless Sensor Networks
Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis technique with partially damaged data. In this paper, we introduce a data mining mechanism and apply it to the processing of data which are missing or inconsistent.