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Internet of Things from Scratch

You're reading from   Internet of Things from Scratch Build IoT solutions for Industry 4.0 with ESP32, Raspberry Pi, and AWS

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781837638543
Length 438 pages
Edition 1st Edition
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Author (1):
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Renaldi Gondosubroto Renaldi Gondosubroto
Author Profile Icon Renaldi Gondosubroto
Renaldi Gondosubroto
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Table of Contents (22) Chapters Close

Preface 1. Part 1: Getting Started with the Internet of Things
2. Chapter 1: An Introduction to IoT Architecture, Hardware, and Real-Life Applications FREE CHAPTER 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

Creating Applications on the Edge

Edge computing is a nascent technology that facilitates the processing of data near or at its point of generation, rather than in a central hub such as the cloud. This will break down a centralized computing problem and instead create a decentralized, distributed way of processing data, allowing for real-time decision-making, faster response times, and a reduction in data transmission costs. This enables you to cut costs associated with traditional investments required for centralized data processing, such as setting up a data center or cloud infrastructure. Instead, you can utilize the same devices used to collect the data to perform a portion or all of the required processing work.

Often, this is a solution that many turn to when they start looking at bigger, more complex workloads. In many cases, challenges such as processing multiple streams of data that may involve hundreds or thousands of streams at the same time in a centralized system may...

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