Smart Sensors for Industrial Internet of Things

Introduction.- Section 1: Industrial Internet of things (IIoT).- Introduction to Industrial Internet of things (IIoT).- IIoT Architecture.- IIoT Key Technologies .- IIoT Use Cases.- Section 2: Smart Sensors for IIoT.- How Smart? - Role of Smart Sensors in IIoT.- Challenges to IIoT Smart Sensor Manufacturing and Deployment.- Section 3: IIoT Smart.- Sensors and Business Aspects.- Smart Sensor IIoT Businesses.- Predictive Analytics with Sensor Data.- Efficient Business Predictions .- Section 4: IIoT Smart Sensors Potential and Applications.- Potential and Importance of Smart Sensors for IIoT.- Real-World Applications of Smart Sensor IIoT.- Section 5: IIoT Smart Sensor Case Studies.- Connected Vehicles - Intelligent Transport Systems.- Internet of Drones.- Precision Farming/Agriculture.- Healthcare.- Conclusion.

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