Fog Computing-Based IoT for Health Monitoring System
Open accessAbstract
Wireless sensor networks (WSNs) are widely used in the area of health informatics. Wireless and wearable sensors have become prevalent devices to monitor patients at risk for chronic diseases. This helps ascertain that patients comply by the treatment plans and also safeguard them during sudden attacks. The amount of data that are gathered from various sensors is numerous. In this paper, we propose to use fog computing to help monitor patients suffering from chronic diseases such that the data are collected and processed in an efficient manner. The main challenge would be to only sort out context-sensitive data that are relevant to the health of the patient. Just having a simple sensor-to-cloud architecture is not viable, and this is where having a fog computing layer makes a difference. This increases the efficiency of the entire system, as it not only reduces the amount of data that is transported back and forth between the cloud and the sensors but also eliminates the risk that a data center failure bears with it. We also analyze the security and deployment issues of this fog computing layer.
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Edge computing facilitates remote patient monitoring and enables healthcare providers to monitor health statuses in real time and detect changes that signal possible onset of a chronic disease.
“Edge computing facilitates remote patient monitoring and enables healthcare providers to monitor health statuses in real time and detect changes that signal the possible onset of a chronic disease [42,43].”
From Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions (2023) · cites this paper as [42]
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Cites
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Secure Healthcare Data Aggregation and Transmission in IoT—A Survey
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- Authors
- Paul, A., Pinjari, H., Hong, W.-H., Seo, H. C., & Rho, S.
- Affiliations
- Kyungpook National University (KR)
- School of Computer Science and Engineering, Kyungpook National University, Daegu, Republic of Korea
- School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, Republic of Korea
- Sungkyul University (KR)
- Corresponding author
- Paul, Anand
- Hong, Won-Hwa
- Venue
- Journal of Sensors
- Publisher
- Wiley
- Published
- 2018-10-22
- Volume
- 2018
- Pages
- 1-7
- ISSN
- 1687-725X (ISSN-L)
- 1687-7268
- OpenAlex
- W2896964336
- Cited by
- 155
- References
- 7
- Citations by year
- 2026: 5 · 2025: 18 · 2024: 20 · 2023: 22 · 2022: 28 · 2021: 35 · 2020: 21 · 2019: 6
- FWCI
- 9.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Sensors (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation of Korea (NRF-2017R1C1B5017464, NRF-2016R1A2A1A05005459)
- Ministry of Education (NRF-2017R1C1B5017464, NRF-2016R1A2A1A05005459)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Sensor Networks for Data Analysis
- Keywords
- fog computing, Internet of Things, health monitoring, wireless sensor networks, wearable sensors, chronic disease, sensor data processing
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