Yunchuan Sun, Junsheng Zhang, R. Bie, Hongli Yan, Ye Xia, Zhangbing Zhou
{"title":"基于事件的传感数据组织模型","authors":"Yunchuan Sun, Junsheng Zhang, R. Bie, Hongli Yan, Ye Xia, Zhangbing Zhou","doi":"10.1109/ComComAp.2014.7017203","DOIUrl":null,"url":null,"abstract":"Large scaled sensing data are continuously generated by the trillions of sensing devices in the Internet of Things(IoT). It becomes a big challenge to organize and manage these sensing data. In this paper, we propose an event-based organizing model, Event-Linked Network(ELN), to manage the big sensing data. Several different types of queries are also explored, which are different from the queries on traditional relational databases.","PeriodicalId":422906,"journal":{"name":"2014 IEEE Computers, Communications and IT Applications Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Event-based organization model for sensing data\",\"authors\":\"Yunchuan Sun, Junsheng Zhang, R. Bie, Hongli Yan, Ye Xia, Zhangbing Zhou\",\"doi\":\"10.1109/ComComAp.2014.7017203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large scaled sensing data are continuously generated by the trillions of sensing devices in the Internet of Things(IoT). It becomes a big challenge to organize and manage these sensing data. In this paper, we propose an event-based organizing model, Event-Linked Network(ELN), to manage the big sensing data. Several different types of queries are also explored, which are different from the queries on traditional relational databases.\",\"PeriodicalId\":422906,\"journal\":{\"name\":\"2014 IEEE Computers, Communications and IT Applications Conference\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Computers, Communications and IT Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ComComAp.2014.7017203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Computers, Communications and IT Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComComAp.2014.7017203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Large scaled sensing data are continuously generated by the trillions of sensing devices in the Internet of Things(IoT). It becomes a big challenge to organize and manage these sensing data. In this paper, we propose an event-based organizing model, Event-Linked Network(ELN), to manage the big sensing data. Several different types of queries are also explored, which are different from the queries on traditional relational databases.