Description
Mastering Internet of Things (IoT)
From Fundamentals to Advanced Applications in Industry and Research
The Internet of Things (IoT) has transformed the way people interact with technology by connecting billions of intelligent devices capable of sensing, communicating, processing, and making autonomous decisions. From smart homes and wearable healthcare devices to industrial automation, autonomous vehicles, smart agriculture, and Industry 4.0, IoT has become one of the most influential technologies of the digital era.
Mastering Internet of Things (IoT): From Fundamentals to Advanced Applications in Industry and Research is a comprehensive textbook that provides readers with both the theoretical foundations and practical skills required to design, develop, deploy, and manage modern IoT systems.
Starting from the basic concepts of IoT architecture, sensors, embedded systems, communication technologies, and networking, the book gradually progresses toward cloud computing, edge computing, cybersecurity, Artificial Intelligence, Machine Learning, Industry 4.0, Digital Twins, Blockchain integration, and future research directions.
Unlike many introductory IoT books, this volume combines hardware fundamentals, software development, cloud platforms, AI integration, security mechanisms, and real-world industrial applications into a single learning resource. Readers gain practical experience through numerous case studies, project-based learning, coding examples, system architecture diagrams, deployment strategies, and implementation guidelines.
The book covers popular development boards such as Arduino, Raspberry Pi, ESP32, communication protocols including MQTT, CoAP, HTTP, Zigbee, BLE, LoRaWAN, NB-IoT, and cloud platforms such as AWS IoT, ThingSpeak, Blynk, Node-RED, enabling readers to build scalable, secure, and intelligent IoT solutions.
Whether you are a beginner entering the world of connected devices or a researcher exploring next-generation IoT technologies, this book provides a complete roadmap for mastering modern Internet of Things systems.
What You’ll Learn
✔ Fundamentals of Internet of Things (IoT)
✔ IoT Architecture
✔ IoT Ecosystem
✔ IoT Reference Models
✔ Embedded Systems
✔ Sensors
✔ Actuators
✔ Transducers
✔ Arduino Programming
✔ Raspberry Pi Programming
✔ ESP32 Development
✔ GPIO Programming
✔ UART Communication
✔ SPI Communication
✔ I2C Communication
✔ MQTT Protocol
✔ CoAP Protocol
✔ HTTP Protocol
✔ AMQP Messaging
✔ WebSockets
✔ Bluetooth Low Energy (BLE)
✔ Zigbee Networks
✔ Z-Wave Technology
✔ NFC Communication
✔ LoRaWAN
✔ NB-IoT
✔ Sigfox
✔ LTE-M
✔ Wi-Fi IoT
✔ Cellular IoT
✔ Node-RED
✔ ThingSpeak
✔ AWS IoT Core
✔ Google Cloud IoT
✔ Blynk Platform
✔ Cloud Computing
✔ Edge Computing
✔ Fog Computing
✔ IoT Data Analytics
✔ IoT Security
✔ Authentication
✔ Authorization
✔ Encryption
✔ Artificial Intelligence for IoT
✔ Machine Learning for IoT
✔ TensorFlow Lite
✔ OpenCV
✔ Predictive Analytics
✔ Smart Devices
✔ Industry 4.0
✔ Digital Twins
✔ Blockchain for IoT
Table of Contents
Chapter 1
Introduction to Internet of Things
Chapter 2
IoT Ecosystem and Reference Models
Chapter 3
IoT Hardware and Sensors
Chapter 4
Communication Technologies for IoT
Chapter 5
IoT Programming and Platforms
Chapter 6
Cloud Computing and IoT Integration
Chapter 7
IoT Security and Privacy
Chapter 8
Internet of Things and Artificial Intelligence
Chapter 9
Designing IoT Applications Step-by-Step
Chapter 10
Industry 4.0 and IoT Applications
Chapter 11
IoT Project Case Studies
Chapter 12
Research Trends and Future Scope
Who Should Read This Book?
This book is ideal for:
- B.Tech Students
- BCA Students
- MCA Students
- M.Tech Students
- Diploma Engineering Students
- Computer Science Students
- Electronics Engineering Students
- Electrical Engineering Students
- Information Technology Students
- Embedded Systems Engineers
- IoT Developers
- Software Engineers
- AI Engineers
- Robotics Engineers
- Automation Engineers
- Data Scientists
- Cloud Engineers
- Cybersecurity Professionals
- Research Scholars
- University Faculty
- Startup Founders
- Technology Enthusiasts
Key Features
✅ Complete introduction to Internet of Things from beginner to advanced level
✅ Covers both hardware and software aspects of IoT
✅ Step-by-step practical implementation using Arduino, Raspberry Pi, and ESP32
✅ Detailed explanation of communication protocols and networking
✅ Cloud Computing, Edge Computing, and Fog Computing integration
✅ AI, Machine Learning, and Computer Vision applications in IoT
✅ Security, privacy, and cyberattack prevention techniques
✅ Industry 4.0, Smart Cities, Healthcare, Agriculture, and Industrial IoT applications
✅ Real-world case studies with implementation strategies
✅ Research-oriented content covering Blockchain, Digital Twins, and Quantum IoT
✅ Suitable for university courses, professional certification, industrial training, and research
Why This Book?
The Internet of Things is revolutionizing industries by connecting physical devices with intelligent software and cloud services. Modern businesses increasingly demand professionals capable of designing secure, scalable, and AI-enabled IoT systems.
This book provides a structured learning journey from the basic principles of connected devices to advanced topics such as cloud integration, edge intelligence, cybersecurity, predictive analytics, digital twins, and smart industrial automation. By combining theoretical knowledge with practical implementation, readers gain the skills needed to build real-world IoT applications and prepare for careers in one of the fastest-growing technology domains.
Whether you are preparing for university examinations, developing smart devices, working on industrial automation, conducting research, or launching an IoT startup, this book serves as a complete guide to mastering the Internet of Things.
Book Details
Title: Mastering Internet of Things (IoT)
Subtitle: From Fundamentals to Advanced Applications in Industry and Research
Author: Anshuman Mishra
Publisher: Anshuman Mishra
Publication Year: 2025
Language: English
Category: Internet of Things, Artificial Intelligence, Embedded Systems, Computer Science, Electronics Engineering, Industry 4.0







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