Contents

Part I · Foundations: From Industrial Software to the IoT Platform Base

Starting from the limits of industrial software (SCADA/DCS/MES/PLC), this part shows how an IoT platform supplies the three missing capabilities: unified data, open interfaces, and closed-loop automation. It covers system architecture, sensing, communication, and platform-side data processing.

• Chapter 1. IoT Overview: From Industrial Software to AI Agents
• Chapter 2. IoT System Architecture
• Chapter 3. Sensing-Layer Fundamentals
• Chapter 4. Network-Layer Communication Technologies
• Chapter 5. Platform Layer and Data Processing

Part II · Technology: Cloud-Native and AI-Agent Capabilities

On top of the platform base, this part adds software engineering (microservices, containers, DevOps), AI agents (Spring AI, tools, MCP, RAG, Agent Runtime), security, and standardization — completing the leap from a connectivity platform to an AI-native platform.

• Chapter 6. IoT Software Development
• Chapter 7. AIoT and Agent Applications
• Chapter 8. IoT Security
• Chapter 9. IoT Protocols and Standards

Part III · Applications: Multi-Scenario Practice and Trusted Collaboration

This part projects the same multi-protocol, cloud-native, AI-native base onto three contrasting scenarios — industry, city, and agriculture — to validate cross-scenario adaptability. It adds cross-organization trust (DID, blockchain, federated learning) and closes the book with a hands-on IoT DC3 project.

• Chapter 10. Industrial IoT and Smart Manufacturing
• Chapter 11. Smart Cities and Connected Vehicles
• Chapter 12. Agricultural IoT and Environmental Monitoring
• Chapter 13. Trusted Data Collaboration, Decentralized Identity, and Privacy-Preserving Computation
• Chapter 14. IoT DC3 in Practice: From Platform to Agent Applications