Md. Saiful Islam, Shahriar Sobhan, Maria Valero, H. Shahriar, Liang Zhao, S. Ahamed
{"title":"Framework for Collecting Data from specialized IoT devices - An application to enhance Healthcare Systems","authors":"Md. Saiful Islam, Shahriar Sobhan, Maria Valero, H. Shahriar, Liang Zhao, S. Ahamed","doi":"10.1109/icdh52753.2021.00045","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) is the most significant and blooming technology in the 21st century while rapidly developed by covering hundreds of applications in the civil, health, military, and agriculture areas. IoT is based on the collection of sensor data through an embedded system, and this embedded system uploads the data on the internet. Devices and sensor technologies connected over a network can monitor and measure data in real-time. The main challenge is to collect data from IoT devices, transmit them to store in the Cloud, and later retrieve them at any time for visualization and data analysis. All these phases need to be secure by following security protocol to ensure data integrity. In this paper, we present the design of a lightweight and easy-to-use data collection framework for IoT devices, that can potentially be applied to sensors that monitor healthcare. This framework consists of collecting data from sensors and sending them to Cloud storage securely and in realtime for further processing and visualization. Our main objective is to make a data-collecting platform that will be plug-and-play and secure so that any healthcare organization or research team can use it to collect data from any IoT device for further data analysis.","PeriodicalId":93401,"journal":{"name":"2021 IEEE International Conference on Digital Health (ICDH)","volume":"31 1","pages":"231-233"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Digital Health (ICDH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icdh52753.2021.00045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The Internet of Things (IoT) is the most significant and blooming technology in the 21st century while rapidly developed by covering hundreds of applications in the civil, health, military, and agriculture areas. IoT is based on the collection of sensor data through an embedded system, and this embedded system uploads the data on the internet. Devices and sensor technologies connected over a network can monitor and measure data in real-time. The main challenge is to collect data from IoT devices, transmit them to store in the Cloud, and later retrieve them at any time for visualization and data analysis. All these phases need to be secure by following security protocol to ensure data integrity. In this paper, we present the design of a lightweight and easy-to-use data collection framework for IoT devices, that can potentially be applied to sensors that monitor healthcare. This framework consists of collecting data from sensors and sending them to Cloud storage securely and in realtime for further processing and visualization. Our main objective is to make a data-collecting platform that will be plug-and-play and secure so that any healthcare organization or research team can use it to collect data from any IoT device for further data analysis.
物联网(Internet of Things, IoT)是21世纪最重要、最蓬勃发展的技术,在民用、卫生、军事和农业等领域得到了广泛的应用。物联网是基于通过嵌入式系统收集传感器数据,该嵌入式系统将数据上传到互联网上。通过网络连接的设备和传感器技术可以实时监控和测量数据。主要的挑战是从物联网设备收集数据,将其传输到云中存储,然后随时检索它们以进行可视化和数据分析。所有这些阶段都需要遵循安全协议来确保数据的完整性。在本文中,我们为物联网设备设计了一个轻量级且易于使用的数据收集框架,该框架可以潜在地应用于监控医疗保健的传感器。该框架包括从传感器收集数据并将其安全实时地发送到云存储,以便进一步处理和可视化。我们的主要目标是制作一个即插即用且安全的数据收集平台,以便任何医疗机构或研究团队都可以使用它从任何物联网设备收集数据以进行进一步的数据分析。