Federated Internet of Things and Cloud Computing for Pervasive Patient Health Monitoring System
Year: 2025
Type: article
Abstract: -The proposed system leverages a federated Internet of Things (IoT) and cloud computing approach to create a pervasive patient health monitoring system, integrating NodeMCU with a pulse sensor, temperature sensor, SOS switch, and the Blynk app. This system continuously monitors vital signs such as heart rate and body temperature, transmitting the data in real time to the cloud via the NodeMCU microcontroller. The Blynk app serves as an interface for healthcare providers and caregivers, offering instant access to patient data and sending notifications during emergencies triggered by the SOS switch. The federated IoT framework enhances scalability and data security by allowing multiple devices to contribute to a central database, facilitating comprehensive health analytics and remote patient management. This innovative solution aims to improve patient care through continuous monitoring, timely alerts, and the ability to analyse health trends over time, ultimately reducing the burden on healthcare facilities and enabling proactive medical interventions. Keywords: Federated IoT, Cloud Computing, Real-time Health Data, Federated Learning, Data Privacy.
DOI: 10.55041/ijsrem45449
Author: Rithika Rithika
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409679250