research-article

Towards fog driven IoT healthcare: challenges and framework of fog computing in healthcare

Authors:

Mohammed Al-khafajiy,

Atif WaraichAuthors Info & Claims

ICFNDS '18: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

Article No.: 9, Pages 1 - 7

https://doi.org/10.1145/3231053.3231062

Published: 26 June 2018 Publication History

Abstract

As we are within the era of the internet of things (IoT) its increasing integration to our everyday lives means that the devices involved produce massive amounts of data every second from billions of devices. The current approach used to handle this data is cloud computing. However because of its requirement of data centres this can become infeasible for the processing of data from IoT due to distance between these IoT smart objects (e.g., sensors) and the data centre. If this data holds any importance to minimal delay then the travel time between the end device and the clouds data centre could affect the relevance of that data. Therefore, to deal with these issues a new network paradigm placed closer to the IoT end devices is introduced called "Fog computing" to help address these challenges. If introduced effectively then fog computing can lead to the improvements in the quality of service (QoS) offered to systems that require the processing of delay sensitive data like healthcare systems that could benefit from the quick processing of data from sensors to allow the monitoring of patients. This paper has a main focus on healthcare systems. An architecture containing three layers; things (i.e., sensors), fog nodes and a cloud data centre is proposed alongside a framework incorporating this architecture. This framework offers collaboration among fog nodes with optimal management of resources and job allocation, which is able to achieve a high QoS (i.e., low latency) within the scenario of a healthcare system.

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Cited By

Amudhavalli PUrmela SVishnupriya GGopinath NAnandh RBuckingham L(2025)Investigating the Revolution of Healthcare Application with Intense Comparisons and Case StudyThe Impact of Algorithmic Technologies on Healthcare10.1002/9781394305490.ch19(421-445)Online publication date: 8-Jan-2025
https://doi.org/10.1002/9781394305490.ch19
Raj AGopinath NAnandh RJalaluddin MBuckingham L(2025)Introduction to Algorithmic HealthThe Impact of Algorithmic Technologies on Healthcare10.1002/9781394305490.ch1(1-26)Online publication date: 8-Jan-2025
https://doi.org/10.1002/9781394305490.ch1
Goel GChaturvedi A(2024)Multi-Objective Load-balancing Strategy for Fog-driven Patient-Centric Smart Healthcare System in a Smart CityEngineering, Technology & Applied Science Research10.48084/etasr.774914:4(16011-16019)Online publication date: 2-Aug-2024
https://doi.org/10.48084/etasr.7749
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Index Terms

Towards fog driven IoT healthcare: challenges and framework of fog computing in healthcare
1. Networks

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cover image ACM Other conferences

ICFNDS '18: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

June 2018

469 pages

ISBN:9781450364287

DOI:10.1145/3231053

General Chairs:
Abdelrahman Abuarqoub
Middle East University, Jordan
,
Bamidele Adebisi
Manchester Metropolitan University, UK
,
Program Chairs:
Mohammad Hammoudeh
Manchester Metropolitan University, UK
,
Sharefa Murad
Middle East University, Jordan
,
Mounir Arioua
National School of Applied Sciences, Morocco

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 26 June 2018

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ICFNDS'18

ICFNDS'18: International Conference on Future Networks and Distributed Systems

June 26 - 27, 2018

Amman, Jordan

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Cited By

Amudhavalli PUrmela SVishnupriya GGopinath NAnandh RBuckingham L(2025)Investigating the Revolution of Healthcare Application with Intense Comparisons and Case StudyThe Impact of Algorithmic Technologies on Healthcare10.1002/9781394305490.ch19(421-445)Online publication date: 8-Jan-2025
https://doi.org/10.1002/9781394305490.ch19
Raj AGopinath NAnandh RJalaluddin MBuckingham L(2025)Introduction to Algorithmic HealthThe Impact of Algorithmic Technologies on Healthcare10.1002/9781394305490.ch1(1-26)Online publication date: 8-Jan-2025
https://doi.org/10.1002/9781394305490.ch1
Goel GChaturvedi A(2024)Multi-Objective Load-balancing Strategy for Fog-driven Patient-Centric Smart Healthcare System in a Smart CityEngineering, Technology & Applied Science Research10.48084/etasr.774914:4(16011-16019)Online publication date: 2-Aug-2024
https://doi.org/10.48084/etasr.7749
Anand DKaur ASingh M(2024)Research on Internet of Medical Things: Systematic Review, Research Trends and ChallengesRecent Advances in Computer Science and Communications10.2174/012666255824818723112405284617:6Online publication date: Sep-2024
https://doi.org/10.2174/0126662558248187231124052846
Ben-Aboud YKobbane A(2024)Towards a Modular Digital Twin Framework for Energy-Optimized IoT Sensor Devices2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM62286.2024.10655683(1-7)Online publication date: 23-Jul-2024
https://doi.org/10.1109/WINCOM62286.2024.10655683
Singh KSingh NPanchal MGupta P(2024)Fog Computing: An Emerging Paradigm for Edge Intelligence and Efficient Data Processing2023 International Conference on Smart Devices (ICSD)10.1109/ICSD60021.2024.10750953(1-5)Online publication date: 2-May-2024
https://doi.org/10.1109/ICSD60021.2024.10750953
Harasees AAl-Ahmad BAlsobeh AAbuhussein A(2024)A Secure IoT Framework for Remote Health Monitoring Using Fog Computing2024 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)10.1109/ICCNS62192.2024.10776425(17-24)Online publication date: 24-Sep-2024
https://doi.org/10.1109/ICCNS62192.2024.10776425
Aga DChintanippu RMowri RSiddula M(2024)Exploring secure and private data aggregation techniques for the internet of things: a comprehensive reviewDiscover Internet of Things10.1007/s43926-024-00064-74:1Online publication date: 28-Nov-2024
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Wang KKong SChen XZhao M(2024)Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning MethodsJournal of Grid Computing10.1007/s10723-023-09726-222:1Online publication date: 21-Feb-2024
https://doi.org/10.1007/s10723-023-09726-2
Chataut RPhoummalayvane AAkl R(2023)Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0Sensors10.3390/s2316719423:16(7194)Online publication date: 16-Aug-2023
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