Book Image

Architectural Patterns and Techniques for Developing IoT Solutions

By : Jasbir Singh Dhaliwal
Book Image

Architectural Patterns and Techniques for Developing IoT Solutions

By: Jasbir Singh Dhaliwal

Overview of this book

As the Internet of Things (IoT) expands and moves to new domains, architectural patterns need to enable faster digital transformation and more uniform development. Through numerous use cases and examples, this book helps you conceptualize and implement IoT architectural patterns and use them in diverse contexts in real-world scenarios. The book begins by introducing you to a variety of IoT architectural patterns and then helps you understand how they are used in domains such as retail, smart manufacturing, consumer, smart cities, and smart agriculture. You’ll also find out how cross-cutting concerns such as security require special considerations in the IoT context. As you advance, you’ll discover all the nuances that are inherent in each layer of IoT reference architecture, including considerations related to analytics for edge/constrained devices, data visualizations, and so on. In the concluding chapters, you’ll explore emerging technologies such as blockchain, 3D printing, 5G, generative AI, quantum computing, and large language models (LLMs) that enhance IoT capabilities to realize broader applications. By the end of this book, you’ll have learned to architect scalable, secure, and unique IoT solutions in any domain using the power of IoT architectural patterns, and you will be able to avoid the pitfalls that typically derail IoT projects.
Table of Contents (20 chapters)
1
Part 1: Understanding IoT Patterns
5
Part 2: IoT Patterns in Action
11
Part 3: Implementation Considerations
15
Part 4: Extending IoT Solutions

Pattern Implementation in the Manufacturing Domain

One of the domains where IoT has contributed (and is expected to contribute further) significantly to digitalization efforts is the manufacturing domain. The prime reason is that this domain stands to gain the most from obtaining real-time visibility into manufacturing operations, identifying optimization opportunities, and automating the existing manual processes (e.g., automating the inspection of goods by analyzing the video feed as it moves over the assembly), resulting in increased operational efficiency.

Most manufacturing plants already deploy automation to a certain extent (e.g., Computer Numerical Control or CNC). Machines are used to perform repetitive tasks such as welding, milling, cutting, and so on by programming a series of predefined instructions. However, there is still huge potential that can be tapped into by deploying IoT technologies end to end (aggregating/analyzing data from all plants and the complete supply...