loT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution MUSA NDIAYE®1, (Student Member, IEEE), STEPHEN S. OYEWOBI2, (Student Member, IEEE), ADNAN M. ABU-MAHFOUZ®2,4,5, (Senior Member, IEEE), GERHARD P. HANCKE3,5, (Life Fellow, IEEE), ANISH M. KURIEN 02 (Member, IEEE), AND KARIM DJOUANI2,6, (Member, IEEE) 'Department of Electrical Engineering, Copperbelt University, Kitwe 10101, Zambia 2French South African Institute of Technology (FSATI), Tshwane University of Technology, Pretoria 0001, South Africa College of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China Council for Scientific and Industrial Research, Pretoria 0083, South Africa Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0028, South Africa "LISSI Laboratory, University Paris-Est Creteil (UPEC), 94000 Creteil, France Corresponding author: Gerhard P. Hancke (g.hancke@ieee.org) : ABSTRACT The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to the general way of life. Major sectors of the world industry and economy have been affected and the Internet of Things (IoT) management and framework is no exception in this regard. This article provides an up to date survey on how a global pandemic such as COVID-19 has affected the world of IoT technologies. It looks at the contributions that IoT and associated sensor technologies have made towards virus tracing, tracking and spread mitigation. The associated challenges of deployment of sensor hardware in the face of a rapidly spreading pandemic have been looked into as part of this review article. The effects of a global pandemic on the evolution of IoT architectures and management have also been addressed, leading to the likely outcomes on future IoT implementations. In general, this article provides an insight into the advancement of sensor-based E-health towards the management of global pandemics. It also answers the question of how a global virus pandemic has shaped the future of IoT networks.

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IEEE Access
Multidisciplinary Rapid Review Open Access Journal
Received October 3, 2020, accepted October 6, 2020, date of publication October 12, 2020, date of current version October 22, 2020.
Digital Object Identifier 10. 1109/ACCESS.2020.3030090
loT in the Wake of COVID-19: A Survey on
Contributions, Challenges and Evolution
MUSA NDIAYE®1, (Student Member, IEEE),
STEPHEN S. OYEWOBI2, (Student Member, IEEE),
ADNAN M. ABU-MAHFOUZ®2,4,5, (Senior Member, IEEE),
GERHARD P. HANCKE3,5, (Life Fellow, IEEE),
ANISH M. KURIEND2
KARIM DJOUANI2,6, (Member, IEEE)
'Department of Electrical Engineering, Copperbelt University, Kitwe 10101, Zambia
2French South African Institute of Technology (FSATI), Tshwane University of Technology, Pretoria 0001, South Africa
College of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Council for Scientific and Industrial Research, Pretoria 0083, South Africa
(Member, IEEE), AND
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0028, South Africa
LISSI Laboratory, University Paris-Est Creteil (UPEC), 94000 Creteil, France
Corresponding author: Gerhard P. Hancke (g.hancke@ieee.org)
: ABSTRACT The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a
global pandemic, has brought with it changes to the general way of life. Major sectors of the world industry
and economy have been affected and the Internet of Things (IoT) management and framework is no exception
in this regard. This article provides an up to date survey on how a global pandemic such as COVID-19
has affected the world of IoT technologies. It looks at the contributions that IoT and associated sensor
technologies have made towards virus tracing, tracking and spread mitigation. The associated challenges of
deployment of sensor hardware in the face of a rapidly spreading pandemic have been looked into as part of
this review article. The effects of a global pandemic on the evolution of IoT architectures and management
have also been addressed, leading to the likely outcomes on future IoT implementations. In general, this
article provides an insight into the advancement of sensor-based E-health towards the management of global
pandemics. It also answers the question of how a global virus pandemic has shaped the future of IoT
networks.
: INDEX TERMS Artificial intelligence, big data, COVID-19, data sharing, internet of things, pandemic
management.
I. INTRODUCTION
The Internet of Things (IoT) as a network of sensors col-
lecting data both locally and remotely has proved useful in
the field of Electronic-Health (E-Health) management [1].
A combination of Body Area Networks (BANS) and field
monitoring devices have allowed for the collection of patient
vitals and the provision of track and trace services criti-
to take medication. Remote based E-Health is essential for
health care providers in enabling remote access of patients
and patient data. Patient vitals and location can be transmitted
at regular intervals to nearby or distant medical facilities for
monitoring purposes [3], [4].
In times of a global pandemic such as the 2019 coronavirus
(COVID-19), it is critical that social distance guidelines are
adhered to and patients are effectively tracked and traced [5].
These two aspects help significantly in controlling the spread
of the virus worldwide. The ability of IoT services in pro-
viding remote data collection and monitoring of patients in
quarantine has made it a critical aspect in fighting the spread
of virus pandemics [6], [7].
Health workers and authorities need data to manage a
rapidly spreading respiratory pandemic. For COVID-19, data
can be used to start the diagnosis of infection and also trace
cal for pandemic management [2]. Locally based E-Health
mechanisms can collect health information such as blood
pressure, temperature, heart rate, etc. This information can
be stored locally and accessed by a health care professional.
Local systems can also be used to alert the patient when
they need to consult medical personnel and when they need
The associate editor coordinating the review of this manuscript and
iD
approving it for publication was Derek Abbott
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
VOLUME 8, 2020
186821
Transcribed Image Text:IEEE Access Multidisciplinary Rapid Review Open Access Journal Received October 3, 2020, accepted October 6, 2020, date of publication October 12, 2020, date of current version October 22, 2020. Digital Object Identifier 10. 1109/ACCESS.2020.3030090 loT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution MUSA NDIAYE®1, (Student Member, IEEE), STEPHEN S. OYEWOBI2, (Student Member, IEEE), ADNAN M. ABU-MAHFOUZ®2,4,5, (Senior Member, IEEE), GERHARD P. HANCKE3,5, (Life Fellow, IEEE), ANISH M. KURIEND2 KARIM DJOUANI2,6, (Member, IEEE) 'Department of Electrical Engineering, Copperbelt University, Kitwe 10101, Zambia 2French South African Institute of Technology (FSATI), Tshwane University of Technology, Pretoria 0001, South Africa College of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China Council for Scientific and Industrial Research, Pretoria 0083, South Africa (Member, IEEE), AND Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0028, South Africa LISSI Laboratory, University Paris-Est Creteil (UPEC), 94000 Creteil, France Corresponding author: Gerhard P. Hancke (g.hancke@ieee.org) : ABSTRACT The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to the general way of life. Major sectors of the world industry and economy have been affected and the Internet of Things (IoT) management and framework is no exception in this regard. This article provides an up to date survey on how a global pandemic such as COVID-19 has affected the world of IoT technologies. It looks at the contributions that IoT and associated sensor technologies have made towards virus tracing, tracking and spread mitigation. The associated challenges of deployment of sensor hardware in the face of a rapidly spreading pandemic have been looked into as part of this review article. The effects of a global pandemic on the evolution of IoT architectures and management have also been addressed, leading to the likely outcomes on future IoT implementations. In general, this article provides an insight into the advancement of sensor-based E-health towards the management of global pandemics. It also answers the question of how a global virus pandemic has shaped the future of IoT networks. : INDEX TERMS Artificial intelligence, big data, COVID-19, data sharing, internet of things, pandemic management. I. INTRODUCTION The Internet of Things (IoT) as a network of sensors col- lecting data both locally and remotely has proved useful in the field of Electronic-Health (E-Health) management [1]. A combination of Body Area Networks (BANS) and field monitoring devices have allowed for the collection of patient vitals and the provision of track and trace services criti- to take medication. Remote based E-Health is essential for health care providers in enabling remote access of patients and patient data. Patient vitals and location can be transmitted at regular intervals to nearby or distant medical facilities for monitoring purposes [3], [4]. In times of a global pandemic such as the 2019 coronavirus (COVID-19), it is critical that social distance guidelines are adhered to and patients are effectively tracked and traced [5]. These two aspects help significantly in controlling the spread of the virus worldwide. The ability of IoT services in pro- viding remote data collection and monitoring of patients in quarantine has made it a critical aspect in fighting the spread of virus pandemics [6], [7]. Health workers and authorities need data to manage a rapidly spreading respiratory pandemic. For COVID-19, data can be used to start the diagnosis of infection and also trace cal for pandemic management [2]. Locally based E-Health mechanisms can collect health information such as blood pressure, temperature, heart rate, etc. This information can be stored locally and accessed by a health care professional. Local systems can also be used to alert the patient when they need to consult medical personnel and when they need The associate editor coordinating the review of this manuscript and iD approving it for publication was Derek Abbott This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ VOLUME 8, 2020 186821
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