MCQ in IoT- Volume 1 (for Beginners)

Internet of Things (IoT) describes a system of interconnected devices and sensors that utilize real-time data to automate and optimize processes. This book is designed to solidify your core understanding of IoT fundamentals through practice, preparing you for technical interviews.

This book covers a wide array of essential topics, including sensors and actuators, various connectivity protocols, such as Wi-Fi and LPWAN, and data management like edge, fog, and cloud computing. It also covers major IoT applications, like smart cities, IIoT, and healthcare, including critical areas like security and safety. Each chapter presents a thoughtfully curated set of multiple-choice questions that help readers evaluate their understanding and grasp of key IoT concepts. These questions are intended to reinforce both theoretical foundations and application-level insights.

By engaging with the MCQs and reviewing the detailed answer explanations, readers can solidify their comprehension and track their progress in mastering IoT. You will solidify your understanding of how to link theory to practice, fine-tuning the necessary technical skills and problem-solving abilities needed for future IoT projects.

WHAT YOU WILL LEARN
● Understand sensors, actuators, and LPWAN connectivity protocols.
● Implement edge, fog, cloud data processing, and UI design.
● Apply security, safety, and standardization within the IoT ecosystem.
● Analyze domain-specific IoT and sensor-actuator relationships.
● Detail IoT applications: smart homes, healthcare, precision farming.
● Explore smart cities, retail, and transportation network deployments.

WHO THIS BOOK IS FOR
This book is for professionals, educators, and students who already possess a basic grasp of electronics, embedded systems, or computer networks. Readers should have a fundamental understanding of internet technologies and programming concepts.

1. Introduction to IoT
2. Building Blocks of IoT
3. Domain Specific IoT
4. Sensor and Actuator
5. IoT Applications
6. Interview Questions

● 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.