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Development of Edge, Fog and Cloud Computing for Health Monitoring using Raspberry Pi as Fog device and IOT Sensors as Edge Devices
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 29 |
| Year of Publication: 2024 |
| Authors: Kiransing P. Paradeshi, Siddharth B. Kamble, Supriya G. Mhetre, Suhana M. Magdum, Uzma M. Khatib |
10.5120/ijca2024923815
|
Kiransing P. Paradeshi, Siddharth B. Kamble, Supriya G. Mhetre, Suhana M. Magdum, Uzma M. Khatib . Development of Edge, Fog and Cloud Computing for Health Monitoring using Raspberry Pi as Fog device and IOT Sensors as Edge Devices. International Journal of Computer Applications. 186, 29 ( Jul 2024), 46-50. DOI=10.5120/ijca2024923815
Abstract
In this paper a health monitoring system that supports edge, fog, and cloud computing architecture is implemented. Edge, fog computing is all about bringing the power of the cloud closer to where the data is being generated. It combines edges computing, fog computing and cloud computing to create a distributed network that can handle data processing, storage and analysis at the stage of edge and fog level of the network. This means that instead of sending all the data to a centralized cloud server, it can be processed and analyzed right where it's being generated, reducing latency and improving response times. The system utilizes IoT sensors as edge devices to collect real-time health data from individuals. This data is collected by the edge device, then processed and analyzed by fog devices and cloud computing is indeed used in health monitoring system for storage. In this health monitoring system, the IoT sensors act as the "eyes and ears" of the system, collecting health data such as heartbeat and temperature. Therefore, combination of cloud computing and IoT can provide the best performance for users. Cloud Computing nowadays provides lifesaving healthcare. applications by collecting data from bedside devices viewing patient information and diagnosis in real time. There may be some concerns about security and other issues with the patient’s data, but utilization of IoT and cloud technologies in the healthcare industry would open a new era in the field of healthcare.
References
- Shreya Rajkumar, Malavika Srikanth, “Health monitoring system using Raspberry PI”, 2017 International Conference on Big Data, IoT and Data Science (BID) Vishwakarma Institute of Technology, Pune, Dec 20-22, 2017.
- Yousef-Awwad Daraghmi, Eman Yaser Daraghmi , Raed Daraghma , Hacène Fouchal, Marwane Ayaida, “Edge–Fog–Cloud Computing Hierarchy for Improving Performance and Security of NB-IoTBased Health Monitoring Systems”, Sensors 2022, 22, 8646. https://doi.org/10.3390/s22228646.
- Vu Khanh Quy, Nguyen Van Hau1, Dang Van Anh1, Le Anh Ngoc,” Smart healthcare IoT applications based on fog computing: architecture, applications and challenges”, 17 November 2021.
- Harshwardhan Patil, Sumeet Manohare, Shivam Magdum, Mrs. Sonal Gore,” Smart Healthcare Monitoring and Patient Report Generation System using IOT”, Volume 8 Issue VI June 2020.
- E. N. Ganesh, “Health Monitoring System using Raspberry Pi and IoT”, ISSN: 0974-6471, Vol. 12. No. (1) 2019, Pg. 08-13.
- Prof. R.N. Jadhav, Kajal Gahlyan", Twinkal Kumbhare, Rupali Munde,” AUTOMATIC HEALTH CARE MONITORING SYSTEM USING RASPBERRY PI” Volume:05/Issue:(08/August2023
- Prateek Kulshrestha, Preksha Joshi, Piyush Sharma, Dinesh Verma,” Wireless Patient Monitoring System using IoT”, International Journal of Electrical, Electronics and Computers Vol-6, Issue-3 | May-Jun, 2021.
- E_book_Cloud Computing by Prof. Soumya Kanti Ghosh, Department of Computer Science and Engineering, IIT Kharagpur, 2023Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX95-09398., University of Washington.
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