Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures




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MTA Majmua(2021), 1, 4-Karno kartadan foydalanib mantiqiy ifodalarni minimallash, Kalendar reja algoritm, Ishchi dastur(Dasturlash I) 24.11.2021, 1 -amaliyot, 4-Lab, Yurtimiz mustaqillikga erishishidan oldin milliy urf odat, 7-8-mavzuDT larni sertifikatlashtirish, Axborotlarni izlash va ajratib olish fanidan mustaqil ish Mavzu, Abdulla Oripov O\'zbekiston (qasida), 2 lab Yarashov Diyorbek, TATU NF Hemis axborot tizimi, Algo 1-299, prezentatsiya
Introduction
According to a computational and statistical data survey 
performed by the United Nations Department of Economic 
and Social Affairs (UN DESA) [
1
], by 2050, more the 68% 
of the world population will migrate to urban areas. Typi-
cal reasons justifying this transition include the search for 
improved living conditions, modern facilities and lifestyle, 
as well as smart and connected assets (e.g., housing units, 
vehicles, cities, etc.) [
2
]. However, this rapid population 
shift towards urban environments can potentially increase 
the risk of pollution, flash flooding events, lack of housing 
infrastructure, or evoke other social consequences affecting 
the citizen’s livelihood. To mitigate such threats, scientists 
and government experts introduced the “smart city” con-
cept. The definition of a smart city is not limited to tech-
nological advancements and innovations incorporated into 
the traditional city infrastructure, but also entails consumer 
involvement. A smart city is an architectural design that can 
support the economic growth of societies and provide better 
prospects for citizens—with high standards of sustainability 
and mobility—leveraging artificial intelligence [
3
], machine 
learning [
4

5
], robotics, and automation schemes [
3

6
].
This article is part of the topical collection ”Technologies 
and Components for Smart Cities” guest edited by Himanshu 
Thapliyal, Saraju P. Mohanty, Srinivas Katkoori and Kailash 
Chandra Ray.
* Charalambos Konstantinou 
charalambos.konstantinou@kaust.edu.sa
Arunmozhi Manimuthu 
arunmozhi.m@ntu.edu.sg
Venugopal Dharshini 
aishuveu.7@gmail.com
Ioannis Zografopoulos 
ioannis.zografopoulos@kaust.edu.sa
M. K. Priyan 
mkpriyan@khu.ac.kr
1
Energy Research Institute (ERI@N), Nanyang Technological 
University, Singapore, Singapore
2
APTECH Solutions PVT LTD, Bangalore, India
3
Division of Computer, Electrical and Mathematical Sciences 
and Engineering, King Abdullah University of Science 
and Technology (KAUST), Thuwal 23955, Saudi Arabia
4
Department of Computer Engineering, Kyung Hee 
University, Seoul, South Korea


SN Computer Science (2021) 2:334
334 Page 2 of 24
SN Computer Science
Technological innovations endorsed the transition towards 
smart city deployments. Harnessing the advancements in 
scientific fields such as big data, Internet-of-things (IoT), and 
cloud technologies (BIC), can assist cities become secure, 
economically efficient, and sustainable infrastructures, while 
addressing most of the arising urbanization challenges. 
Apart from the aforementioned, contactless technology (CT) 
has recently received great adoption due to its practical and 
secure way for completing transactions [
6

8
]. Recently, the 
COVID-19 pandemic accelerated the need for CT in smart 
cities. CT has been in use for almost a decade in applica-
tions involving smart gadgets and embedded chip-based 
tools used for contactless payments, identity verification, 
attendance monitoring, etc. In early 2000, magnetic strip-
based payments were used in banking systems, and later on, 
CT payment methods were introduced through which users 
could make payments at dedicated embedded devices. Over 
the past few months and given the COVID-19 outburst, a 
massive digital transformation has occurred, forcing com-
panies to adapt to the new circumstances. In more details
almost 68% of enterprises have turned to digital technolo-
gies to retain their customer base, service provisioning and 
with minimum impact on the enterprise operation. Notably, 
during the pandemic global crisis, technology-driven smart 
applications including IoT devices (e.g., smartphones, com-
puters, smart watches, and sensors) improved the security 
and safety of citizens while keeping them socially isolated 
from the outside world to disrupt the virus spread per the 
government safety regulations.
A field study from the World Health Organization (WHO) 
and the United Nations predicts that there will be a 40–75% 
increase in technology-driven startups by 2030, which will 
be addressing the socio-environmental challenges around 
the world. Smart cities can furnish technological innova-
tions improving the sustainability and living quality of urban 
environments. Different information and communication 
technologies (ICT) technologies assisting this digitization 
thrust along with their functional capabilities and resource 
requirements in different sectors are illustrated in Fig. 
1
.
Consumer engagement, business objectives, and applica-
tion interfaces motivated the shift towards CTs which can 
positively influence smart ecosystems, making them envi-
ronmentally friendlier (e.g., by reducing the use of paper 
for documents, plastic for cards, etc.). Different use cases 
and application-specific fields encountered within smart city 
deployments (e.g., mobility, energy, healthcare, etc.) can be 
leveraged for the design, development, and evaluation of 
contemporary technologies enabled by BIC. Smart cities 
Fig. 1
Overview of the information and communication technologies (ICT) within smart cities assisted by big data, Internet-of-things (IoT), and 
cloud (BIC) infrastructure


SN Computer Science (2021) 2:334 
Page 3 of 24 334
SN Computer Science
equipped with CT gateways can support high growth rates, 
become more competitive, and attain bigger market capitals 
when compared to business entities operating using outdated 
tools. COVID-19 has demonstrated the effectiveness of CT 
for different applications and paved the way for even some 
rural areas which tested BIC-enabled techniques, mainly in 
industry-based applications, proving their cost-effectiveness. 
Depending on the actual environment, where such CT are 
are employed, for instance in construction, transportation, 
business models, consumer engagement policies, etc., they 
can furnish a plethora of additional features [
9
].
The key contribution of this paper is to showcase the 
increasing number of CT applications within smart cities 
that can be promoted by BIC. A field study as well as a 
forecasted statistical analysis about BIC in their individual 
domains are briefly presented in Sect. 2. Detailed case stud-
ies, related literature, and the impact of ICT in smart cities 
are discussed in Section "
Related Work
" to raise the readers’ 
awareness regarding the benefits of CT. The inter-relation-
ship between BIC and application-specific innovations for 
CT are explained in Section "
Contactless Technology (CT)
”. 
Different technologies and their actual/forecasted impact on 
societal implications from the smart city’s perspective are 
also explained. Cross-platform technologies, applications, 
and technologies driving CT towards smart ecosystems in 
smart cities are discussed in Section "
CT in Smart City
”. 
The impact of big data in healthcare, national security, and 
various surveillance schemes is detailed in Section “
Big 
Data Biometric Analytics: A CT Paradigm
”. The importance 
of IoT for autonomous vehicles (AV) is examined in Section 
"
IoT in Autonomous Vehicles (AV)
”. Furthermore, given 
that cloud-based infrastructures are increasingly used in 
many embedded applications, the relation between contact-
less payments and cloud-based requirements are explained in 
Section “
Frictionless Payment Technology and Cloud Infra-
structure
”. A case study about the impact of BIC for smart 
cities in India during COVID-19 is presented in Section 

Contactless Payments with NFC
”. The security and safety 
standards which should be mandated before the deployment 
of CT in the smart city ecosystems are introduced in Sec-
tion “
A Case Study of Utilizing BIC Technologies During 
COVID-19
”. Finally, Sections “
Discussion on the Implica-
tions of Utilizing BIC
”, 
Conclusion
” delineate the implica-
tions of CT and conclude with directions for future work on 
this topic.

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Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures

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