Citation: Malik, S.; Gupta, K.; Gupta,
D.; Singh, A.; Ibrahim, M.;
Ortega-Mansilla, A.; Goyal, N.;
Hamam, H. Intelligent
Load-Balancing Framework for
Fog-Enabled Communication in
Healthcare. Electronics 2022, 11, 566.
https://doi.org/10.3390/
electronics11040566
Academic Editor: Juan M. Corchado
Received: 12 January 2022
Accepted: 9 February 2022
Published: 13 February 2022
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electronics
Review
Intelligent Load-Balancing Framework for Fog-Enabled
Communication in Healthcare
Swati Malik
1
, Kamali Gupta
1
, Deepali Gupta
1
, Aman Singh
2
, Muhammad Ibrahim
3,4
,
Arturo Ortega-Mansilla
2,5
, Nitin Goyal
1,
* and Habib Hamam
6,7,8
1
Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India;
swati.malik@chitkara.edu.in (S.M.); kamali.singla@chitkara.edu.in (K.G.);
deepali.gupta@chitkara.edu.in (D.G.)
2
Higher Polytechnic School, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, Spain;
aman.singh@uneatlantico.es (A.S.); arturo.ortega@uneatlantico.es (A.O.-M.)
3
Department of Information Technology, University of Haripur, Haripur 22620, Pakistan;
ibrahimmayar@uoh.edu.pk
4
Department of Computer Engineering and Research Center of Advance Technology, Jeju National University,
Jeju-si 63243, Korea
5
Department of Project Management, Universidad Internacional Iberoamericana, Campeche 24560, Mexico
6
Faculty of Engineering, Université de Moncton, Moncton, NB E1A3E9, Canada; habib.hamam@umoncton.ca
7
International Institute of Technology and Management, Commune d’Akanda, Libreville BP1989, Gabon
8
School of Electrical Engineering, Dept of Electrical and Electronic Engineering Science, University of
Johannesburg, Johannesburg 2006, South Africa
* Correspondence: nitin.goyal@chitkara.edu.in
Abstract: 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.
Keywords: fog computing; load balancing; healthcare; cloud computing
1. Introduction
Visualization of the future connected world is incomplete without including the
Internet of Things (IoT). IoT devices are artificially intelligent and are available to be
utilized by various applications that can provide efficient performance for end-users. The
data of various applications are collected by these devices [1]. Various smart devices
produce a large amount of data, which is utilized by various applications for better decision
making and better services for end-users [2].
The interconnections between various devices and application helps in learning the
existing system and improving it for efficient functionality. IoT is utilized in various
fields for day-to-day activities, such as smart offices, buildings, healthcare, grid system,
traffic management, healthcare, agriculture and many more fields. Medical services are an
important concern in everyone’s life. The contribution to health services can reduce the
cost and provide better services to people.
Electronics 2022, 11, 566. https://doi.org/10.3390/electronics11040566 https://www.mdpi.com/journal/electronics