Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare Article Swipe
Swati Malik
,
Kamali Gupta
,
Deepali Gupta
,
Aman Singh
,
Muhammad Ibrahim
,
A. Ortega
,
Nitin Goyal
,
Habib Hamam
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11040566
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11040566
The present technological era significantly makes use of Internet-of-Things (IoT) devices for offering and implementing healthcare services. Post COVID-19, the future of the healthcare system is highly reliant upon the inculcation of Artificial-Intelligence (AI) mechanisms in its day-to-day procedures, and this is realized in its implementation using sensor-enabled smart and intelligent IoT devices for providing extensive care to patients relative to the symmetric concept. The offerings of such AI-enabled services include handling the huge amount of data processed and sensed by smart medical sensors without compromising the performance parameters, such as the response time, latency, availability, cost and processing time. This has resulted in a need to balance the load of the smart operational devices to avoid any failure of responsiveness. Thus, in this paper, a fog-based framework is proposed that can balance the load among fog nodes for handling the challenging communication and processing requirements of intelligent real-time applications.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics11040566
- https://www.mdpi.com/2079-9292/11/4/566/pdf?version=1644744632
- OA Status
- gold
- Cited By
- 28
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4212872464
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4212872464Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics11040566Digital Object Identifier
- Title
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Intelligent Load-Balancing Framework for Fog-Enabled Communication in HealthcareWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-02-13Full publication date if available
- Authors
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Swati Malik, Kamali Gupta, Deepali Gupta, Aman Singh, Muhammad Ibrahim, A. Ortega, Nitin Goyal, Habib HamamList of authors in order
- Landing page
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https://doi.org/10.3390/electronics11040566Publisher landing page
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https://www.mdpi.com/2079-9292/11/4/566/pdf?version=1644744632Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-9292/11/4/566/pdf?version=1644744632Direct OA link when available
- Concepts
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Internet of Things, Computer science, Fog computing, Latency (audio), Low latency (capital markets), Health care, Balance (ability), Embedded system, Telecommunications, Computer network, Economics, Medicine, Economic growth, Physical medicine and rehabilitationTop concepts (fields/topics) attached by OpenAlex
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28Total citation count in OpenAlex
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2025: 5, 2024: 12, 2023: 6, 2022: 5Per-year citation counts (last 5 years)
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57Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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