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Internet of Things from Scratch

You're reading from  Internet of Things from Scratch

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781837638543
Pages 438 pages
Edition 1st Edition
Languages
Author (1):
Renaldi Gondosubroto Renaldi Gondosubroto
Profile icon Renaldi Gondosubroto

Table of Contents (22) Chapters

Preface 1. Part 1: Getting Started with the Internet of Things
2. Chapter 1: An Introduction to IoT Architecture, Hardware, and Real-Life Applications 3. Chapter 2: Understanding and Designing IoT Networks 4. Chapter 3: Integrating Application Protocols 5. Chapter 4: Examining Communication and Connectivity Technologies 6. Part 2: Developing and Optimizing IoT Systems for Smart Environments
7. Chapter 5: Realizing Wireless Sensor Networks within Smart Spaces 8. Chapter 6: Creating Applications on the Edge 9. Chapter 7: Working with Cloud Computing to Power IoT Solutions 10. Chapter 8: Designing for Interoperability 11. Part 3: Operating, Maintaining, and Securing IoT Networks
12. Chapter 9: Operating and Monitoring IoT Networks 13. Chapter 10: Working with Data and Analytics 14. Chapter 11: Examining Security and Privacy in IoT 15. Chapter 12: Exploring and Innovating with Open Source IoT 16. Part 4: Delving into Complex Systems and the Future of IoT
17. Chapter 13: Developing IoT Solutions for Digital Transformation within Industry 4.0 18. Chapter 14: Architecting Complex, Holistic IoT Environments 19. Chapter 15: Looking Ahead into the Future of IoT 20. Index 21. Other Books You May Enjoy

Bringing IoT into the organization

The Industrial Internet of Things (IIoT) is rapidly transforming the manufacturing industry, and it is becoming an essential component of Industry 4.0. Industry 4.0 refers to the integration of physical and digital technologies, creating a smart manufacturing environment where machines, systems, and humans can communicate and work together more effectively. As a result, the use of IIoT is becoming increasingly popular in the manufacturing industry, with a focus on data-driven decision-making, optimization, and automation.

One significant trend in bringing IIoT into organizations as a part of Industry 4.0 is the increased adoption of cloud computing and edge computing. With the vast amounts of data generated by IIoT devices, it can be challenging to store, manage, and analyze this data effectively. Cloud computing provides a scalable and flexible solution for managing data, while edge computing can help reduce latency and ensure that data processing...

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