Smart Sensors for Industrial Internet of Things

1. Front Matter

   Pages i-xvi

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2. Introduction

   • Deepak Gupta, Victor Hugo C. de Albuquerque, Ashish Khanna, Purnima Lala Mehta

   Pages 1-6

3. Internet of Things Concept and Its Applications

   • Prashant Ahluwalia, Nitin Mittal

   Pages 7-36

4. Smart Sensors and Industrial IoT (IIoT): A Driver of the Growth of Industry 4.0

   • Vijay Prakash Gupta

   Pages 37-49

5. Smart Sensors for IIoT in Autonomous Vehicles: Review

   • Suresh Chavhan, Ravi Arun Kulkarni, Atul Ramesh Zilpe

   Pages 51-61

6. Vehicular Intelligence: A Study on Future of Mobility

   • Anish Kumar Sarangi, Ambarish Gajendra Mohapatra

   Pages 63-80

7. Connected Vehicles: Intelligent Transport Systems

   • Navneet Yadav, Rama Kanta Choudhury

   Pages 81-99

8. Design of Auto-Braking System for Accident Prevention and Accident Detection System Using IoT

   • Gitanjali Mehta, Manoj Singh, Shubham Dubey, Uzair, Yogesh Mishra

   Pages 101-114

9. IoMT with Cloud-Based Disease Diagnosis Healthcare Framework for Heart Disease Prediction Using Simulated Annealing with SVM

   • Kishore Kumar Kamarajugadda, Pavani Movva, Manthena Narasimha Raju, S. Anup Kant, Satish Thatavarti

   Pages 115-126

10. Hyperparameter Optimization of Deep Neural Network in Multimodality Fused Medical Image Classification for Medical and Industrial IoT

    • Velmurugan Subbiah Parvathy, Sivakumar Pothiraj, Jenyfal Sampson

    Pages 127-146

11. Cognitive IoT-Based Smart Fitness Diagnosis and Recommendation System Using a Three-Dimensional CNN with Hierarchical Particle Swarm Optimization

    • Chalumuru Suresh, M. Ravikanth, B. Srivani, Thatavarti Satish

    Pages 147-160

12. Industrial Internet of Things (IIoT) with Cloud Teleophthalmology-Based Age-Related Macular Degeneration (AMD) Disease Prediction Model

    • R. J. Kavitha, T. Avudaiyappan, T. Jayasankar, J. Arputha Vijaya Selvi

    Pages 161-172

13. Significance of IoT in the Agricultural Sector

    • Sushruta Mishra, Pradeep Kumar Mallick, Debjit Koner

    Pages 173-194

14. Soil Moisture Sensor Nodes in IoT-Based Drip Irrigation System for Water Conservation

    • K. Muruganandam, Usha Chauhan

    Pages 195-205

15. Precision Agriculture Using Advanced Technology of IoT, Unmanned Aerial Vehicle, Augmented Reality, and Machine Learning

    • Vijayakumar Ponnusamy, Sowmya Natarajan

    Pages 207-229

16. IoT-Based Brinjal Crop Monitoring System

    • Navdeep Kaur, Gaurav Deep

    Pages 231-247

17. Internet of Drones: An Engaging Platform for IIoT-Oriented Airborne Sensors

    • Ambuj Kumar, Purnima Lala Mehta

    Pages 249-270

18. A Novel Approach on Renewable Energy Harvesting Using Internet of Things (IoT)

    • S. Chandragandhi, E. Udayakumar, K. Srihari

    Pages 271-285

19. Security and Surveillance at Smart Homes in a Smart City Through Internet of Things

    • Rinky Dwivedi, Koyel Datta Gupta, Deepak Sharma

    Pages 287-296

20. Back Matter

    Pages 297-306

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This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security.


By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.

• Sensing technology domains
• Mobile sensing devices
• Data abstracting and data compressing
• Edge computing
• Efficient integration of wireless sensors/actuators
• Security issues in industrial sensor networks
• Micro-electromechanical Systems and Wireless Sensor Networks
• Wireless Body Area Network
• IoT for Environmental Condition Monitoring

• Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology GGSIP University, Delhi, India

  Deepak Gupta, Ashish Khanna

• University of Fortaleza, UNIFOR, Fortaleza, Brazil

  Victor Hugo C. de Albuquerque

• IILM Academy of Higher Learning-College of Engineering & Technology, Greater Noida, India

  Purnima Lala Mehta

Dr. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD and post-doctorate supervision etc. With 12 years of rich expertise in teaching and two years in industry; he focuses on rational and practical learning. He has contributed massive literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning and Soft Computing. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI and various other reputed journals. He has completed his Post-Doc from Inatel, Brazil, and Ph.D. from Dr. APJ Abdul Kalam Technical University. He has authored/Edited 33 books with National/International level publisher (Elsevier, Springer, Wiley, Katson). He has published 118 scientific research publications in reputed International Journals and Conferences including 56 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley and many more. He is the convener and organizer of ‘ICICC’ springer conference series. 


Prof. Victor Hugo C. de Albuquerque [M’17, SM’19] is a professor and senior researcher at the University of Fortaleza, UNIFOR, Brazil, and Data Science Director at the Superintendency for Research and Public Safety Strategy of Ceará State (SUPESP/CE), Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba, an MSc in Teleinformatics Engineering from the Federal University of Ceará, and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará. He is currently an Associate Professor of the Graduate Program in Applied Informatics of UNIFOR and leader of the Industrial Informatics, Electronics and Health Research Group (CNPq). He is a specialist, mainly, in IoT, Machine/Deep Learning, Patter Recognition, Robotic.


Dr. Ashish Khanna has 16 years of expertise in Teaching, Entrepreneurship,and Research & Development He received his Ph.D. degree from NationalInstitute of Technology, Kurukshetra. He has completed his M. Tech. and B.Tech. GGSIPU, Delhi. He has completed his postdoc from Internet of ThingsLab at Inatel, Brazil and University of Valladolid, Spain. He has publishedaround 45 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wileyand many more reputed Journals with cumulative impact factor of above 100. He has around100 research articles in top SCI/ Scopus journals, conferences and book chapters. He is co-author of around 20 edited and text books. His research interest includes Distributed Systems,MANET, FANET, VANET, IoT, Machine learning and many more. He is originator of BhavyaPublications and Universal Innovator Lab. Universal Innovator is actively involved in research,innovation, conferences, startup funding events and workshops. He has served the researchfield as a Keynote Speaker/ Faculty Resource Person/ Session Chair/ Reviewer/ TPC member/post-doctorate supervision. He is convener and Organizer of ICICC conference series. He iscurrently working at the Department of Computer Science and Engineering, Maharaja AgrasenInstitute of Technology, under GGSIPU, Delhi, India. He is also serving as series editor in Elsevierand De Gruyter publishing houses.


Purnima Lala Mehta received her bachelor’s degree and master’s degree in the field of Electronics and Communications Engineering (ECE) from Bharati Vidyapeeth’s College of Engineering for Women (BVCOEW), University of Pune, India, and Northcap University (formerly ITM University), Gurgaon, India respectively. She has received Doctor of Philosophy (PhD) degree, in the field of “Wireless Cellular Communications through Aerial Drones” from Aarhus University, Denmark (ranked 141 by QS World Ranking).  She has been working as an Assistant Professor since July 2012 and has around 8 years of teaching and research experience including international exposure at countries like Denmark, Germany, China, etc. Her research interests include the areas of Mobile Computing, Aerial Drone based Wireless Communications, Wireless Ad-Hoc Networks, Millimeter Wave Communications, Future Generations of Communications, and Business Modelling. She has contributed her papers in multiple peer reviewed conferences, journals and books. For her astounding research work in Springer, she has been awarded ‘Franklin Quarterly Membership’ by London Journals Press. She has been appointed as reviewer of SCI indexed journal; Wireless Personal Communications, Springer and has served as a Resource Person/Panel Speaker at a number of Research events like IEEE 5G Summits, IEEE ANTS conference, etc. She has chaired and conducted multiple sessions in peer conferences including IEEE WPMC, Portugal. 

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