{"title":"使用雾计算功能的IoT/IoE智能医疗保健系统","authors":"Rawia Talal, Abdul-Bary Raouf Suleiman","doi":"10.1109/AiCIS51645.2020.00015","DOIUrl":null,"url":null,"abstract":"A competent and structured approach to improve the health and well-being of humanity is provided by the Internet of everything technology. One of the practical ways to provide healthcare services based on IoE is to monitor human health in real-time using smart healthcare that sends the data to the gateway through a particular wireless communication protocol. The real-time data is then transmitted to a remote Fog computing node for real-time, visualization, processing, and analyzing. In this paper, we enhance such a health monitoring system by taking advantage of the concept of fog computing providing embedded advanced techniques and services, such as gathering raw data from different sources and filter the duplicity to produce summary information which is known as data aggregation. Fog computing also stores the aggregated information in distributed storage which provides many advantages like availability, low cost, and scalability. Finally, fog computing provides notification service at the edge of the network which contributes to avoid critical situations. Cisco packet tracer 7.2 is used to program and implement the proposed smart health care platform.","PeriodicalId":388584,"journal":{"name":"2020 2nd Annual International Conference on Information and Sciences (AiCIS)","volume":"15 15","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"IoT/IoE Smart Health Care System using Fog Computing Features\",\"authors\":\"Rawia Talal, Abdul-Bary Raouf Suleiman\",\"doi\":\"10.1109/AiCIS51645.2020.00015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A competent and structured approach to improve the health and well-being of humanity is provided by the Internet of everything technology. One of the practical ways to provide healthcare services based on IoE is to monitor human health in real-time using smart healthcare that sends the data to the gateway through a particular wireless communication protocol. The real-time data is then transmitted to a remote Fog computing node for real-time, visualization, processing, and analyzing. In this paper, we enhance such a health monitoring system by taking advantage of the concept of fog computing providing embedded advanced techniques and services, such as gathering raw data from different sources and filter the duplicity to produce summary information which is known as data aggregation. Fog computing also stores the aggregated information in distributed storage which provides many advantages like availability, low cost, and scalability. Finally, fog computing provides notification service at the edge of the network which contributes to avoid critical situations. Cisco packet tracer 7.2 is used to program and implement the proposed smart health care platform.\",\"PeriodicalId\":388584,\"journal\":{\"name\":\"2020 2nd Annual International Conference on Information and Sciences (AiCIS)\",\"volume\":\"15 15\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 2nd Annual International Conference on Information and Sciences (AiCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AiCIS51645.2020.00015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd Annual International Conference on Information and Sciences (AiCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AiCIS51645.2020.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IoT/IoE Smart Health Care System using Fog Computing Features
A competent and structured approach to improve the health and well-being of humanity is provided by the Internet of everything technology. One of the practical ways to provide healthcare services based on IoE is to monitor human health in real-time using smart healthcare that sends the data to the gateway through a particular wireless communication protocol. The real-time data is then transmitted to a remote Fog computing node for real-time, visualization, processing, and analyzing. In this paper, we enhance such a health monitoring system by taking advantage of the concept of fog computing providing embedded advanced techniques and services, such as gathering raw data from different sources and filter the duplicity to produce summary information which is known as data aggregation. Fog computing also stores the aggregated information in distributed storage which provides many advantages like availability, low cost, and scalability. Finally, fog computing provides notification service at the edge of the network which contributes to avoid critical situations. Cisco packet tracer 7.2 is used to program and implement the proposed smart health care platform.