
MCQ in IoT- Volume 3 (for Advanced Level)
ISBN: 9789365896947
eISBN: 9789365898880
Authors: Dr. Dheeraj Mehrotra, Dr. Brijesh Bakariya
Rights: Worldwide
Edition: 2026
Pages: 302
Dimension: 7.5*9.25 Inches
Book Type: Paperback
DESCRIPTION
Internet of Things (IoT) is the fundamental technology driving digital transformation, but unlocking its full potential requires mastering advanced concepts like AI and data science. A solid grasp of intermediate level IoT fundamentals is essential for engaging with this volume. This book is your essential resource for validating and sharpening your expertise in these sophisticated areas through targeted multiple choice questions.
This book covers the most critical technical areas for modern IoT systems, like AI Through IoT (AIoT) for smart decision-making. You will explore robust IoT architectures, IoT microcontrollers, Industry 4.0, and the Industrial Internet of Things (IIoT), covering Cyber-Physical Systems and predictive maintenance. You will master extracting value from data streams with data science in IoT, utilizing machine learning, before reinforcing your knowledge with challenging interview questions on technical protocols and advanced computing models.
Upon completing this book, you will possess a certified, robust understanding of the complex hardware, architecture, and intelligence layers of IoT. You will be fully prepared to confidently handle technical interviews and implement reliable, scalable IoT solutions in the real world.
WHAT YOU WILL LEARN
● Mastering IoT concepts through multiple choice questions.
● Identify IoT communication models, protocols, and enabling technologies.
● Analyze real-world IoT applications across various industry domains.
● Evaluate IoT security challenges and possible protective measures.
● Strengthen the foundation for academic exams and professional certifications.
● Preparing for exams, interviews, and quiz, etc.
● Utilize MQTT/CoAP protocols and 5G network integration.
● Core components of microcontrollers and selection criteria.
● Apply data science and ML for predictive analytics.
● Master AIoT smart decision-making and pattern prediction.
WHO THIS BOOK IS FOR
This book is for IoT developers, engineers, and advanced students who already grasp basic IoT concepts, protocols, platforms, and programming (Python) and seek mastery in AIoT, IIoT, architecture, and data science.
TABLE OF CONTENTS
1. Introduction to IoT
2. AI Through IoT
3. IoT Architectures and Applications
4. IoT Microcontrollers
5. Industry 4.0 Industrial Internet of Things
6. Data Science in IoT
7. Interview Questions
ABOUT THE AUTHORS
● Dr. Dheeraj Mehrotra, with an MS, MPhil, and Ph.D. (education management), is also an H.C., a white and yellow belt in Six Sigma, and a certified NLP business diploma holder. He is an educational innovator and author with expertise in Six Sigma in education, academic audits, neuro-linguistic programming (NLP), and total quality management.
Dr. Mehrotra is also an experiential educator and a CBSE resource for school assessment (SQAA), CCE, JIT, Five S, and Kaizen. He has authored over 100 books on topics including computer science, AI, digital body language, NLP, quality circles, school management, classroom effectiveness, and safety and security in schools.
He is a former principal at De Indian Public School, New Delhi (India), NPS International School, Guwahati, and education officer at GEMS, Gurgaon, with over two decades of teaching experience. He is a certified trainer for quality circles/TQM in education and QCI standards for school accreditation/school audits and management.
He was honored with the president of India’s National Teacher Award in 2006, the Best Science Teacher State Award from the Ministry of Science and Technology, Uttar Pradesh, and the Innovation in Education Award for his inception of Six Sigma in Education by Education Watch, New Delhi. He also received the Education World-Best Teacher Award, the BOLT Learner Teacher Award by Air India, and the Innovation in Education Award 2016 by Higher Education Forum (HEF), Gujarat Chapter, among others. He developed over 150 free educational mobile apps for the Google Play Store exclusively for teachers, students, and parents. This work has been recognized by the Limca Book of Records and India Book of Records as the only Indian to achieve that feat. Dr. Mehrotra currently serves as the principal at Kunwars Global School, Lucknow, in India. He has conducted over 1000 workshops globally on excellence in education, integrating total quality management and six sigma, technology integration in education (TIE), and developing Rockstar Teachers. His workshops cover topics such as cyberspace, cyber security, classroom management, school leadership and management, and innovative teaching within classrooms via Mind Maps, NLP, and experiential learning in academics. He is also an active TEDx speaker, with talks available on the YouTube TEDx channel.
As a premium Udemy instructor, he has developed over 450 courses, serving over 8 Lakh students from 180 countries.
● Dr. Brijesh Bakariya, MCA, Ph.D. (computer applications), is an academician, researcher, and author with extensive expertise in data science, artificial intelligence, machine learning, IoT, and programming languages. He is currently serving as an assistant professor in the department of computer science and engineering at I.K. Gujral Punjab Technical University, Hoshiarpur Campus (Punjab, India). With over 15 years of teaching experience, he has contributed significantly to higher education, research supervision, and academic leadership.
He earned his Ph.D. in computer applications from Maulana Azad National Institute of Technology (NIT), Bhopal, 2016, and completed his MCA from DAVV University, Indore, 2009. Over the years, he has supervised and awarded three Ph.D. scholars and is currently guiding several more in cutting-edge areas such as machine learning for healthcare, deep learning-based human activity recognition, and predictive modeling.
His research contributions are remarkable, with more than 40 publications in SCI and Scopus-indexed journals, etc (including Springer, Elsevier, CRC Press, and Bentham Science). His work spans across AI-driven medical diagnosis, sentiment analysis, human activity recognition, weblog analysis, and IoT-based intelligent systems. He has also presented papers at prestigious international and national conferences. He is the author and co-author of multiple books with reputed publishers such as BPB Publications and Springer. He has also contributed book chapters in advanced domains like smart schools, lung cancer detection, and sentiment analysis techniques. A prolific innovator, He has filed and published multiple patents in the domains of data science, clustering, COVID-19 detection via mobile applications, and big data efficiency.
He is an active member of professional bodies such as IRED, IAENG, and SDIWC. Dedicated to continuous learning, He has attended numerous faculty development programs (FDPs), short-term training programs (STTPs), and workshops conducted by IITs, NITs, NITTTR, and AICTE across domains like Python, machine learning, deep learning, data science, cloud computing, and cryptography. His professional journey reflects his passion for quality education, research excellence, and innovation in technology integration. His commitment to advancing computer science education and guiding the next generation of researchers continues to inspire students, peers, and the academic community at large.

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