Enhancement of IoT in Remote Monitoring System

The rapid advancement of the Internet of Things (IoT) has transformed healthcare by enabling real-time monitoring and personalized care through connected sensors and cloud-based platforms. Despite its potential, existing healthcare monitoring systems face persistent challenges such as limited scalability, unreliable connectivity in rural areas, high latency in data transmission, and concerns about data privacy and security. To address these gaps, this study proposes a cost-effective IoT-based remote monitoring framework that integrates wearable sensors, Node-RED for data routing, Google Cloud SQL for storage, and Thingsboard for real-time visualization and alert generation. The system was tested in Warud, Maharashtra, with control and treatment groups to evaluate usability and performance. Results from the System Usability Scale (SUS) and Post-Study System Usability Questionnaire (PSSUQ) show that the treatment group achieved significantly higher satisfaction scores, with an average SUS score of 75 compared to 60 for the control group. Reliability analysis further confirmed the consistency of user responses, and prioritization of physiological signals ensured timely alerts for critical health conditions. The findings demonstrate that the proposed IoT framework enhances usability, responsiveness, and accessibility of healthcare services, particularly for underserved regions. This research contributes to the advancement of e-health and telemedicine, highlighting IoT’s role in building scalable, patient-centered systems that can accelerate the transition toward smart and connected healthcare infrastructures.