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Towards Energy-Efficient Framework for IoT Big Data Healthcare Solutions
Joint Authors
Adnan, Muhammad
Khan, Habib Ullah
Ahmad, Arshad
Feng, Chong
Ullah, Ayaz
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The aim of the Internet of things (IoT) is to bring every object (wearable sensors, healthcare sensors, cameras, home appliances, smart phones, etc.) online.
These different objects generate huge data which consequently lead to the need of requirements of efficient storage and processing.
Cloud computing is an emerging technology to overcome this problem.
However, there are some applications (healthcare) which need to process data in real time to improve its performance and require low latency and delay.
Fog computing is one of the promising solutions which facilitate healthcare domain in terms of reducing the delay multihop data communication, distributing resource demands, and promoting service flexibility.
In this study, a fog-based IoT healthcare framework is proposed in order to minimize the energy consumption of the fog nodes.
Experimental results reveal that the performance of the proposed framework is efficient in terms of network delay and energy usage.
Furthermore, the authors discussed and suggested important services of big data infrastructure which need to be present in fog devices for the analytics of healthcare big data.
American Psychological Association (APA)
Feng, Chong& Adnan, Muhammad& Ahmad, Arshad& Ullah, Ayaz& Khan, Habib Ullah. 2020. Towards Energy-Efficient Framework for IoT Big Data Healthcare Solutions. Scientific Programming،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209101
Modern Language Association (MLA)
Feng, Chong…[et al.]. Towards Energy-Efficient Framework for IoT Big Data Healthcare Solutions. Scientific Programming No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1209101
American Medical Association (AMA)
Feng, Chong& Adnan, Muhammad& Ahmad, Arshad& Ullah, Ayaz& Khan, Habib Ullah. Towards Energy-Efficient Framework for IoT Big Data Healthcare Solutions. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209101
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209101