Table Of ContentComputational Intelligence for
Wireless Sensor Networks
Computational Intelligence for
Wireless Sensor Networks
Principles and Applications
Edited by
Sandip Kumar Chaurasiya
Joydeep Dutta
Arindam Biswas
Gorachand Dutta
Mrinal Kanti Sarkar
First edition published [2023]
by CRC Press
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Library of Congress Cataloging‑in‑Publication Data
Library of Congress Cataloging-in-Publication Data
Names: Chaurasiya, Sandip Kumar, editor.
Title: Computational intelligence for wireless sensor networks : principles
and applications / edited by Sandip Kumar Chaurasiya, Joydeep Dutta,
Arindam Biswas, Gorachand Dutta, Mrinal Kanti Sarkar.
Description: First edition. | Boca Raton, FL : CRC Press, [2022] | Includes
bibliographical references and index. | Identifiers: LCCN 2021059286 (print) |
LCCN 2021059287 (ebook) | ISBN 9780367608880 (hbk) | ISBN 9780367608897 (pbk) |
ISBN 9781003102397 (ebk)
Subjects: LCSH: Wireless sensor networks.
Classification: LCC TK7872.D48 C645 2022 (print) | LCC TK7872.D48 (ebook) |
DDC 006.2/5--dc23/eng/20220124
LC record available at https://lccn.loc.gov/2021059286
LC ebook record available at https://lccn.loc.gov/2021059287
ISBN: 978-0-367-60888-0 (hbk)
ISBN: 978-0-367-60889-7 (pbk)
ISBN: 978-1-003-10239-7 (ebk)
DOI: 10.1201/9781003102397
Typeset in Palatino
by KnowledgeWorks Global Ltd.
Contents
Preface ............................................................................................................................................vii
About the Authors .........................................................................................................................ix
List of Contributors ........................................................................................................................xi
1 Wireless Sensor Network (WSN) Vis‑à‑Vis Internet of Things (IoT):
Foundation and Emergence ..................................................................................................1
P. K. Paul
2 Computational Intelligence in Wireless Sensor and Actuator Networks:
A Thorough Review .............................................................................................................17
Thakur Santosh and Sandip K. Chaurasiya
3 Metaheuristic Clustering in Wireless Sensor Networks .............................................37
Sandip K. Chaurasiya, Suman Ghosh, and Rajib Banerjee
4 Protocol Development Using Computational Intelligence in Wireless
Sensor Networks ...................................................................................................................63
Dhirendra Kumar Sharma
5 Intelligent IoT for Precision Agriculture .........................................................................77
Hitesh Kumar Sharma
6 A Study of Blockchain‑Based Energy‑Aware Intelligent Routing Protocols
for Wireless Sensor Networks ...........................................................................................93
Arup Sarkar and Geetansh Atrey
7 Intelligent Vehicular Ad Hoc Networks and Their Pursuance in
LTE Networks ......................................................................................................................115
Arjun Arora
8 Intelligent Routing in Vehicular Ad Hoc Networks ...................................................135
Rohit Srivastava
9 WSN Security: Intrusion Detection Approaches Using Machine Learning ..........151
Gaytri Bakshi and Himanshu Sahu
10 Security in Communication for Intelligent Wireless Sensor Networks:
Issues and Challenges .......................................................................................................175
Shiwangi Singh, Ritwik Saurabh, Tanmoy Maitra, and Debasis Giri
Index .............................................................................................................................................193
v
Preface
Wireless Sensor Networks (WSNs) are networks of tiny electromechanical devices, more
precisely called sensor nodes. These sensor nodes are equipped with the ability to sense
and measure their surroundings. The popularity of such networks can easily be perceived
through a wide variety of applications such as habitat monitoring, health monitoring,
security and surveillance, civil structure monitoring, precision agriculture, animal track-
ing, and industrial applications. However, these networks suffer from several constraints
such as storage and computational limitations, limited power resources, and limited trans-
ceiving capabilities. The limitations mentioned above result in many challenges such as
deployment and localization, energy-efficient data gathering and routing, data fusion,
security, task scheduling, etc.
Over the past few years, computational intelligence (CI) has emerged as an effective
tool to address these challenges. Computational intelligence refers to a set of adaptive
techniques facilitating intelligent behavior in complex and dynamically changing envi-
ronments like wireless sensor networks (WSNs). The elements of learning, adaptation, and
evolution are integrated to create an intelligent system via CI; thus, CI enables WSNs to
exhibit autonomous behavior in a rapidly changing environment and provides robustness
against the above-cited challenges.
This work attempts to bring the learning of technologies such as CI and WSN to fos-
ter strong collaboration between them. The following chapters thoroughly discuss WSNs
and sensor-enabled technologies along with their respective properties and challenges.
Furthermore, the present work will discuss various CI techniques such as fuzzy comput-
ing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intel-
ligence, and their respective applications in wireless sensor networks and sensor-enabled
technologies in greater depth.
vii
About the Authors
Sandip K. Chaurasiya received his M.E. degree in Computer Science
and Technology from the Indian Institute of Engineering Science
and Technology Shibpur, Howrah, West Bengal, India, in June 2010.
He is working as an Assistant Professor in the University of
Petroleum and Energy Studies, Dehradun, Uttarakhand, India. His
research interests include mobile computing, wireless sensor net-
works, and the internet of things. He has authored a book, A Complete
Guide to Wireless Sensor Networks: From Inception to Current Trends
(2019), and contributed many technical papers in various journals
and conferences. He has reviewed a number of research articles in
several reputed international conferences/journals. He is an active member of the
Institution of Electronics & Communication Engineers (India), New Delhi.
Dr. Joydeep Dutta completed his Ph.D. degree from the Department
of Computer Science and Engineering, NIT Durgapur in 2020. He
completed his M.E. in Computer Science and Engineering from the
West Bengal University of Technology in 2008. Dr. Dutta was also
awarded the bronze medal for his first-class 3rd position in the uni-
versity. Dr. Dutta qualified with the UGC NET in Computer Science
and Applications in 2013. He is currently working as an Assistant
Professor in the Department of Computer Science of Kazi Nazrul
University, Asansol, India. He has more than nine years of teaching experience in several
reputed engineering colleges of West Bengal and two years of industrial experience in
MNCs such as Wipro Technologies and Oracle Financial Services Software Ltd. His current
research interests include network optimization problems, artificial intelligence, evolution-
ary algorithms, combinatorial optimization etc. He has several high-impact SCI-indexed
publications like Neural Computing and Applications, Transport, etc. Dr. Dutta has acted as a
reviewer of various reputed journals and conferences. He has chaired, organized, and pre-
sented papers at seminars and conferences of international repute.
Dr. Arindam Biswas was born in West Bengal, India, in 1984. He
received his M-Tech degree in Radio Physics and Electronics from
the University of Calcutta, India, in 2010 and his Ph.D. from NIT
Durgapur in 2013. He was a Post-Doctoral Researcher at Pusan
National University, South Korea, with prestigious the BK21PLUS
Fellowship, Republic of Korea. He was Visiting Professor at the
Research Institute of Electronics, Shizouka University, Japan. He has
been selected for the IE(I) Young Engineer Award: 2019–20 in
Electronics & Telecommunication Engineering, Institute of
Engineers, India. Dr. Biswas has 11 years of experience in teaching
research and administration. Presently Dr. Biswas is working as an Assistant Professor in
the School of Mines and Metallurgy at Kazi Nazrul University, Asansol, WB, India. He has
48 technical papers in various journals and 30 conference proceedings and six books, one
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