Energy saving mechanism in fog assisted IoT enabled health monitoring framework Article Swipe
Luina Pani
,
Chinmaya Misra
,
Azian Azamimi Abdullah
,
Satya Ranjan Dash
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1372/1/012050
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1372/1/012050
This proposed research work discusses fog assisted IoT enabled health monitoring system performance. This system support local processing nearer the client machine for faster service and removing redundant data. This architecture is suitable for heavy traffic health data monitoring system like old or child monitoring or fitness care monitoring system. After processing huge data, only filtering data will be forwarded to cloud for processing. To transfer the huge amount of health monitoring data form IoT layer to Data Management and Processing Layer (DMPL) consume lots of energy. To minimize the energy requirement in the fog assisted DMPL layer, we adopt sleep mode operation and batch transferring data packet transfer technology. This paper studies the effect of sleeping mode on mean delay, number of data packets in the buffer and probability of blocking. The results show that proposed approach saves energy and effective framework for fog assisted health monitoring framework.
Related Topics
Concepts
Computer science
Network packet
Cloud computing
Application layer
Sleep mode
Real-time computing
Efficient energy use
Layer (electronics)
Data processing
Data access layer
Computer network
Embedded system
Database
Engineering
Operating system
Data modeling
Physics
Software deployment
Organic chemistry
Power consumption
Quantum mechanics
Electrical engineering
Chemistry
Power (physics)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/1372/1/012050
- OA Status
- diamond
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2990746352
All OpenAlex metadata
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https://openalex.org/W2990746352Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/1372/1/012050Digital Object Identifier
- Title
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Energy saving mechanism in fog assisted IoT enabled health monitoring frameworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-11-01Full publication date if available
- Authors
-
Luina Pani, Chinmaya Misra, Azian Azamimi Abdullah, Satya Ranjan DashList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/1372/1/012050Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/1372/1/012050Direct OA link when available
- Concepts
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Computer science, Network packet, Cloud computing, Application layer, Sleep mode, Real-time computing, Efficient energy use, Layer (electronics), Data processing, Data access layer, Computer network, Embedded system, Database, Engineering, Operating system, Data modeling, Physics, Software deployment, Organic chemistry, Power consumption, Quantum mechanics, Electrical engineering, Chemistry, Power (physics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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14Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | IOP Publishing, Institute of Physics |
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| primary_location.raw_source_name | Journal of Physics: Conference Series |
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| publication_date | 2019-11-01 |
| publication_year | 2019 |
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