{"title":"传感器网络中的数据采样:智慧城市应用的新趋势","authors":"Andre L. L. Aquino","doi":"10.4172/2090-4886.1000E115","DOIUrl":null,"url":null,"abstract":"When we think about “Data sampling in sensor networks applied to smart city applications\", we depicted several interdisciplinary areas and problems [1]. The central concepts in smart city applications are traditional sensor networks with intelligent devices [2,3]; Internet of things [4]; social sensing [5]; and cloud sensing [6]. Nowadays, the central issue in these scenarios is “how to perform data sampling when these concepts are integrated\".","PeriodicalId":91517,"journal":{"name":"International journal of sensor networks and data communications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4172/2090-4886.1000E115","citationCount":"0","resultStr":"{\"title\":\"Data Sampling in Sensor Networks: New Trends in Smart City Applications\",\"authors\":\"Andre L. L. Aquino\",\"doi\":\"10.4172/2090-4886.1000E115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When we think about “Data sampling in sensor networks applied to smart city applications\\\", we depicted several interdisciplinary areas and problems [1]. The central concepts in smart city applications are traditional sensor networks with intelligent devices [2,3]; Internet of things [4]; social sensing [5]; and cloud sensing [6]. Nowadays, the central issue in these scenarios is “how to perform data sampling when these concepts are integrated\\\".\",\"PeriodicalId\":91517,\"journal\":{\"name\":\"International journal of sensor networks and data communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4172/2090-4886.1000E115\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of sensor networks and data communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2090-4886.1000E115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of sensor networks and data communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2090-4886.1000E115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Sampling in Sensor Networks: New Trends in Smart City Applications
When we think about “Data sampling in sensor networks applied to smart city applications", we depicted several interdisciplinary areas and problems [1]. The central concepts in smart city applications are traditional sensor networks with intelligent devices [2,3]; Internet of things [4]; social sensing [5]; and cloud sensing [6]. Nowadays, the central issue in these scenarios is “how to perform data sampling when these concepts are integrated".
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
