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 Agriculture Domain

Traditionally, farmers spent most of their time observing plant and/or soil conditions and guesstimating the weather conditions before acting – for example, performing irrigation and applying fertilizers. The application of tools and techniques for smart agriculture helps remove this burden from farmers’ shoulders, as decision-making can be performed by analytics engines.

Smart agriculture helps to reduce environmental impact through efficient irrigation and the optimal usage of fertilizer/pesticides. It helps to increase yield by obtaining accurate information about the soil and environmental conditions and then providing information regarding the optimum quantity of input (fertilizers, pesticides, water, etc.) and conditions. The problem with traditional farming is that farmers follow the same procedures regarding sowing, nourishing, irrigation, and harvesting without considering differences that exist in different...