Table Of ContentStudies in Computational Intelligence 942
Pradeep Kumar Singh
Marcin Paprzycki
Mohamad Essaaidi
Shahram Rahimi Editors
Sustainable
Smart
Cities
Theoretical Foundations and Practical
Considerations
Studies in Computational Intelligence
Volume 942
Series Editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes
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· ·
Pradeep Kumar Singh Marcin Paprzycki
·
Mohamad Essaaidi Shahram Rahimi
Editors
Sustainable Smart Cities
Theoretical Foundations and Practical
Considerations
Editors
Pradeep Kumar Singh Marcin Paprzycki
Narsee Monjee Institute of Management Polish Academy of Sciences
Studies (NMIMS) Warsaw, Poland
School of Technology Management
and Engineering Shahram Rahimi
Chandigarh Campus, India Department of Computer Science
and Engineering
Mohamad Essaaidi Mississippi State University
ENSIAS College of Engineering Starkville, MS, USA
Mohammed V University
Rabat, Morocco
ISSN 1860-949X ISSN 1860-9503 (electronic)
Studies in Computational Intelligence
ISBN 978-3-031-08814-8 ISBN 978-3-031-08815-5 (eBook)
https://doi.org/10.1007/978-3-031-08815-5
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Preface
This book is classified into three major sections: (i) Social Aspects of Making City
Smart, (ii) 5G and Other Networking Technologies for Smart Cities and (iii) Data
Science and Business Analytics, IoT, AI and ML for Smart Cities. The first section
covers the social aspects for the smart cities, the key challenges, opinion of experts
on smart cities and standard perspectives. The second parts explore the role of latest
networking technologies, especially 5G technologies, in terms of better communi-
cation and connectivity among smart devices. The third section explores the role of
data science, Internet of Things (IoT) and artificial intelligence (AI) and machine
learning (ML) solutions for smart cities applications. The brief of each of chapter
included in the book is stated below. In the first and second sections, there are six
chapters in each, respectively, as mentioned below.
Khoi et al. discussed their findings on title “A Smart City Analytical Framework
in Economics”. This chapter covers the data analytics for the Vietnam. The authors
discuss challenges in terms of six factors: smart economy, smart governance, smart
environment, smart citizen, smart traffic and smart living in context to Vietnam.
These six factors are primarily analysed in the chapter.
There is another chapter written by Khoi et al. to address the “Smart City—
Development Trend in the World and Vietnam”. In this chapter, the most recent
trends in Vietnam’s to become a smart cities are included, although stated that there
is no smart cities as such, so the findings could be the future guidelines for the smart
city planners in Vietnam.
Karocki Piotr contributed on title “Smart City from a Standards Perspective”.
This chapter covers many standard definitions of the smart cities and what experts
suggest a smart city should have. There are few opinions about smart cities; “it is not
only about technology advancements”; it much beyond technological advancements.
Sustainable development goals (SDGs) are also integrated part of the smart cities.
Finally, author concluded with the remark “smart city is a new way of thinking in
city planning”.
Asaad et al. addressed their work on “Point-of-Interests Recommendation Service
in Location-Based Social Networks: A Survey, Research Challenges, and Future
Perspectives”. This work aims to address most of the currently proposed ideas and
v
vi Preface
proposed techniques for offering accurate Point-of-Interest (POI) recommendation
systems. This work could be considered as a start of the art and future possibilities
of research in terms of taxonomies of POI-based recommendation solutions.
Guerra et al. contributed their findings on “San Marcos Smart City: A Proposal
of Framework for Developing ISO 37120:2018-Based Smart City’s Services for
Lima”. The main objectives of their work is to build and test the main technological
components for a smart city including different layered architectures that contain
the physical to application layer analysis in terms of implementation and other chal-
lenges. This framework might be useful for the similar areas of smart cities with
respect to the following: education, environmental, law, government, private sector.
Saxena et al. carried out an in-depth analysis on “Social and Technical Challenges
in Eco-Sustainable Smart City in India—An Analysis”. Their work emphasizes on
the needs of cooperation among government, industry, citizen, etc., to develop an
ideal environment for the smart communities and cities. Various success factors for
smart cities are discussed during their work in context to India.
Sinha et al. reported a framework on title “A Framework for Designing Long Term
Digital Preservation System”. In their contribution, data preservation practices for
digital contents of smart cities are discussed. Long-term and short-terms goals for
digital data preservation and challenges are the key findings.
Giudici et al. discussed their findings on “Towards Sustainable Smart Cities: The
Use of the ViaPPS as Road Monitoring System”. Their main contribution emphasizes
on the role of ICT in road monitoring and showcases the ViaPPS: a mobile Pavement
Profiling System and its usefulness in assisting the smart cities authorities in tracking
the road networks and conditions of roads at various locations within smart city.
Dhruvik et al. wrote about their findings on “Optimal Resource Allocation for
Public Safety Device to Device Communication Using PSO”. Their work proposed
an improved optimized resource allocation algorithm for D2D applications; it further
prioritizes PSC over commercial applications and that makes it useful for smart cities
applications in regard to device to device communication improvements.
In the similar direction, a bibliometric-based analysis is conducted by Shri Ram,
and he explored the research progress in Internet of Things (IoT) application in
smart cities and ongoing challenges. The findings from this work with the support of
published papers concluded IoT as one of the most demanding areas of technologies
used in smart cities applications.
Anand et al. focused their findings on “Neural Network (NN) Based Task
Scheduling in Cloud Using Harmony Search Algorithm”. The findings are aligned
to the cloud computing task scheduling challenges, and authors have analysed
the comparison between the efficiency of Moth, GA and harmonic search (HS)
techniques.
Gulati et al. investigated their findings on “Neural Inspired Ant Lion Algorithm
for Resource Optimization in Cloud”. The findings of the papers concluded that the
best option to be used in resource allocation is ant lion algorithm in cloud computing.
Kumar et al. detailed their findings on “Smart School Selection with Supervised
Machine Learning”. In their work, a recommender system is proposed. This smart
school selection application illustrated by the authors found beneficial to students
Preface vii
and may be helpful to the parents while choosing an academic school to their wards,
which might further help in enhance the grades based on right selection of school.
Gourisaria et al. stated their findings on “Artificially Intelligent and Sustainable
Smart Cities”. This paper covers the key aspects of smart cities; i.e. technologies
involved, the implementation and drawbacks associated with the proposed techniques
have been discussed with in-depth analysis.
Daniela López De Luise et al. submitted their results on “Machine Learning Self-
Tuning Motivation Engine for Telemarketers”. In their work, they minutely analysed
the challenges associated with the telemarketing job and how the introduction of
serious games may help telemarketers in improving their overall performance.
Ibáñez et al. discussed one framework on “QROWD—A Platform for Integrating
Citizens in Smart City Data Analytics”. This paper covers a platform which provides
a framework for helping smart city planners and their team’s members in terms of
the design and implementation of human computation tasks. The work is helpful in
citizen sensing as crowdsourcing services because according to the work it can be
integrated with machine processes and we can have city data analytics for various
applications and may be helpful in city planning as well.
Bawa et al. reported their findings on “Estimation of Short-Time Forecast for
COVID-19 Outbreak in India: State-Wise Prediction and Analysis”. The current
work focuses on the state-wise impact of COVID-19 pandemic cases in India and
how it will helpful for the future crises and epidemic situations.
Ghaziabad, India Pradeep Kumar Singh
Warsaw, Poland Marcin Paprzycki
Rabat, Morocco Mohamad Essaaidi
Starkville, USA Shahram Rahimi
Contents
Social Aspects of Making City Smart
A Smart City Analytical Framework in Economics ................... 3
Nguyen Thi Ngan and Bui Huy Khoi
Smart City—Development Trend in the World and Vietnam ........... 13
Nguyen Thi Ngan and Bui Huy Khoi
Smart City from a Standards Perspective ............................ 23
Piotr Karocki
Point-of-Interests Recommendation Service in Location-Based
Social Networks: A Survey, Research Challenges, and Future
Perspectives ....................................................... 43
Safar Maghdid Asaad, Kayhan Zrar Ghafoor, Halgurd Sarhang,
and Aos Mulahuwaish
San Marcos Smart City: A Proposal of Framework for Developing
ISO 37120:2018-Based Smart City’s Services for Lima ................ 65
Jorge Guerra Guerra, Marco Rios, Alvaro Aspilcueta, Juan Gamarra,
Jorge Zavaleta, and Felix Fermin
Social and Technical Challenges in Eco-Sustainable Smart City
in India—An Analysis ............................................. 87
Devanshi Saxena, Shaweta Khanna, Sangeeta Mangesh,
Manisha Chaudhry, and Kayhan Zrar Ghafoor
5G and Other Networking Technologies for Smart Cities
A Framework for Designing Long Term Digital Preservation
System ........................................................... 107
Anand Kumar Sinha, Santosh Kumar, and H. M. Singh
ix
x Contents
Towards Sustainable Smart Cities: The Use of the ViaPPS as Road
Monitoring System ................................................ 135
Henri Giudici, Boris Mocialov, and Aslak Myklatun
Optimal Resource Allocation for Public Safety Device to Device
Communication Using PSO ........................................ 155
Navadiya Dhruvik, Rakesh Pavan, Neeraj, and M. Kiran
Research Progress in Internet of Things (IoT) Application in Smart
Cities Development: A Bibliometric Analysis ......................... 173
Shri Ram
Neural Network Based Task Scheduling in Cloud Using Harmony
Search Algorithm ................................................. 191
Arnaav Anand, Pratyush Agarwal, Dinesh Kumar Saini, and Punit Gupta
Neural Inspired Ant Lion Algorithm for Resource Optimization
in Cloud .......................................................... 205
Devansh Gulati, Mehul Gupta, Dinesh Kumar Saini, and Punit Gupta
Data Science and Business Analytics, IoT, AI and ML for Smart
Cities
Smart School Selection with Supervised Machine Learning ............ 221
Deepak Kumar, Chaman Verma, Veronika Stoffová, Zoltán Illes,
Anish Gupta, Brijesh Bakariya, and Pradeep Kumar Singh
Artificially Intelligent and Sustainable Smart Cities ................... 237
Mahendra Kumar Gourisaria, Gaurav Jee, G. M. Harshvardhan,
Debanjan Konar, and Pradeep Kumar Singh
Machine Learning Self-Tuning Motivation Engine
for Telemarketers ................................................. 269
Daniela López De Luise and Rodrigo Borgia
QROWD—A Platform for Integrating Citizens in Smart City Data
Analytics ......................................................... 285
Luis-Daniel Ibáñez, Eddy Maddalena, Richard Gomer, Elena Simperl,
Mattia Zeni, Enrico Bignotti, Ronald Chenu-Abente,
Fausto Giunchiglia, Patrick Westphal, Claus Stadler,
Gordian Dziwis, Jens Lehmann, Semih Yumusak, Martin Voigt,
Maria-Angeles Sanguino, Javier Villazán, Ricardo Ruiz,
and Tomas Pariente-Lobo
Estimation of Short-Time Forecast for Covid-19 Outbreak
in India: State-Wise Prediction and Analysis ......................... 323
Puneet Bawa, Virender Kadyan, Anupam Singh, Kayhan Zrar Ghafoor,
and Pradeep Kumar Singh
