DESIGN AND IMPLEMENTATION OF FOG ASSISTED IOT BASED HEALTH MONITORING SYSTEM
| dc.contributor.author | UMME AFIFA JINAN | |
| dc.date.accessioned | 2025-11-23T06:18:52Z | |
| dc.date.available | 2025-11-23T06:18:52Z | |
| dc.date.issued | 2020-12-30 | |
| dc.description.abstract | With the proliferation of IoT devices in healthcare systems and the health informatics arena, IoT based health-monitoring systems have brought about a groundbreaking breakthrough in this 21st-century health information technology, and medical data processing. Meeting the challenges of distributed IoT based healthcare systems implementation, cloud computing alone cannot contribute to the scenario with IoT effectively. Huge medical sensors generated data to be stored in a centralized cloud server may generate problems like latency, network congestion, and increased data traffic due to the overflow of data in the system. Hence, fog computing can overcome these problems by working as a middle layer in between IoT and cloud. This decentralized cloud computing platform facilitates intermediate data processing, analysis, storage, real-time delivery. In this study, we enhanced such an IoT-enabled real-time patient health monitoring system by exploiting the fog computing concept for extracting sensor data, visualizing at a reduced cost and power, storing at local storage, monitoring, and interacting remotely in real-time. Using a couple of sensor devices that measure vital body parameters, we developed a new type of fog computing interface using Raspberry Pi and Arduino UNO. A dedicated local server was implemented as well for the storage and maintenance of the sensor extracted data and giving real-time notification. The implemented monitoring system portraits the efficacy of our proposed system architecture for monitoring patients simultaneously at low cost, low power with simpler system establishment and real-time remote monitoring. The comparison between medical data and biosignals and sensor generated data and signals showed the feasibility of the system. The technical feasibility of the developed fog computing node in terms of cost, power consumption, and latency was evaluated as well. The development and testing of the health monitoring system proves that this system is intended to give relief to medical caregivers while taking care of patients remotely irrespective of time and place. | |
| dc.identifier.uri | https://dspace.nstu.ac.bd/handle/123456789/136 | |
| dc.title | DESIGN AND IMPLEMENTATION OF FOG ASSISTED IOT BASED HEALTH MONITORING SYSTEM |