Edge computing for Internet of Things: a survey, e-healthcare case study and future direction
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OPC-UA has been applied widely for edge-IoT scenarios.
“For example, OPC-UA has been applied widely for edgeIoT scenarios [210].”
From Federated Learning for Internet of Things: A Comprehensive Survey (2021) · cites this paper as [210]
Edge computing can be vital in times like the flu pandemic, where clinicians can monitor patients' vitals from remote areas and devise an action plan.
“Edge computing can be vital in times like the flu pandemic, where clinicians can monitor patients' vitals from remote areas and devise an action plan.”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [220]
Providing adequate healthcare to distant rural regions has always been difficult.
“Providing adequate healthcare to distant rural regions has always been difficult [219,220].”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [220]
Edge computing is particularly useful in healthcare applications requiring real-time monitoring and decision making, such as wearable devices for patient monitoring and remote diagnosis and treatment.
“In healthcare, edge computing is particularly useful in applications that require real-time monitoring and decision making, such as wearable devices for patient monitoring and remote diagnosis and treatment [7,8].”
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 [7]
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“For example, OPC-UA has been applied widely for edgeIoT scenarios [210].”
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- Authors
- Ray, P. P., Dash, D., & De, D.
- Affiliations
- Sikkim University (IN)
- National Institute of Technology Patna (IN)
- Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
- Corresponding author
- Ray, Partha Pratim
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 140
- Pages
- 1-22
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2944604407
- Cited by
- 241
- References
- 90
- Citations by year
- 2026: 13 · 2025: 35 · 2024: 40 · 2023: 36 · 2022: 45 · 2021: 39 · 2020: 26 · 2019: 7
- FWCI
- 16.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Network and Computer Applications (publishedVersion)
- 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 › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- edge computing, Internet of Things, e-health, smart healthcare, latency reduction, bandwidth reduction, smart sensors, smart cities, testbed
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