A 3-Tier Architecture for Network Latency Reduction in Healthcare Internet-of-Things Using Fog Computing and Machine Learning-Reference-Cited by-同舟云学术

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A 3-Tier Architecture for Network Latency Reduction in Healthcare Internet-of-Things Using Fog Computing and Machine Learning

Published:2019-02-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 8th International Conference on Software and Computer Applications
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Author:

Shukla Saurabh¹,Hassan Mohd Fadzil²,Jung Low Tang¹,Awang Azlan³,Khan Muhammad Khalid⁴

Affiliation:

1. Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan, Malaysia

2. Department of Computer and Information Sciences, CERDAS, Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan, Malaysia

3. Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan, Malaysia

4. College of Computing and Information Sciences, PAF Karachi Institute of Economics and Technology, Karachi, Pakistan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3316615.3318222

Reference29 articles.

1. Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach

2. Fog Computing: Helping the Internet of Things Realize Its Potential

3. Analysis of QoS Requirements for e-Health Services and Mapping to Evolved Packet System QoS Classes

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3. Software‐defined networks‐enabled fog computing for IoT ‐based healthcare: Security, challenges and opportunities;SECURITY AND PRIVACY;2022-12-16

4. Internet of Health Things: A Fog computing Paradigm;2022 6th International Conference on Trends in Electronics and Informatics (ICOEI);2022-04-28

5. Fuzzy Theory in Fog Computing: Review, Taxonomy, and Open Issues;IEEE Access;2022

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