Framework for Collecting Data from specialized IoT devices - An application to enhance Healthcare Systems

• Published in: 2021 IEEE International Conference on Digital Health (ICDH) pp. 231 - 233
• Main Authors: Islam, Saiful, Sobhan, Shahriar, Valero, Maria, Shahriar, Hossain, Zhao, Liang, Ahamed, Sheikh I.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2021
• Subjects: Cloud computing; cloud storage; Data analysis; data collection framework; Data visualization; Embedded systems; Internet of Things; processing and visualization; Protocols; Real-time systems
• DOI: 10.1109/ICDH52753.2021.00045

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.