Book Image

Internet of Things from Scratch

By : Renaldi Gondosubroto
Book Image

Internet of Things from Scratch

By: Renaldi Gondosubroto

Overview of this book

Develop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively. Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities. By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.
Table of Contents (22 chapters)
1
Part 1: Getting Started with the Internet of Things
6
Part 2: Developing and Optimizing IoT Systems for Smart Environments
11
Part 3: Operating, Maintaining, and Securing IoT Networks
16
Part 4: Delving into Complex Systems and the Future of IoT

The current state of IoT platforms and their interoperability

The current state of IoT platforms and how they interoperate with one another is a convoluted picture. The market is fragmented due to the heterogeneity that is present with controllers, device protocols, network connectivity methods, standards, data formats, and many more. This is where concepts such as data normalization come into play. Data normalization in the context of IoT involves standardizing and restructuring diverse data formats from various IoT devices and sensors into a consistent, usable format. This process is crucial for efficient data integration, analysis, and interoperability across different IoT systems and applications.

Vendors often intentionally define different IoT protocols and interfaces that are incompatible with other solutions, given their own agendas of competition. One can grasp this idea by considering smart home ecosystems: a certain smart bulb might work flawlessly with one automation...