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

Automatic replenishment of consumables and raw materials

Consumer devices and appliances are getting smarter and more connected and we are not far off from the day when they will be able to detect and order the required consumables or raw materials by themselves. These appliances will detect whether they are running low on raw materials/consumables and then notify the user about the consumables that need to be replenished and leave the final purchasing decision to the owner. Over time, the system can learn someone’s behavior/preferences and even make the purchasing decision on their own. Appliances will have their own processing logic and will connect to a mobile device (using Bluetooth Low Energy (BLE) or a similar protocol) to send their statuses to a central server.

The key components of this use case are illustrated in the following figure:

Figure 5.4 – Realization of an automatic consumable ordering use case by leveraging IoT patterns

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