Book Image

Developing IoT Projects with ESP32

By : Vedat Ozan Oner
Book Image

Developing IoT Projects with ESP32

By: Vedat Ozan Oner

Overview of this book

Developing IoT Projects with ESP32 provides end-to-end coverage of secure data communication techniques from sensors to cloud platforms that will help you to develop production-grade IoT solutions by using the ESP32 SoC. You'll learn how to employ ESP32 in your IoT projects by interfacing with different sensors and actuators using different types of serial protocols. This book will show you how some projects require immediate output for end-users, and cover different display technologies as well as examples of driving different types of displays. The book features a dedicated chapter on cybersecurity packed with hands-on examples. As you progress, you'll get to grips with BLE technologies and BLE mesh networking and work on a complete smart home project where all nodes communicate over a BLE mesh. Later chapters will show you how IoT requires cloud connectivity most of the time and remote access to smart devices. You'll also see how cloud platforms and third-party integrations enable endless possibilities for your end-users, such as insights with big data analytics and predictive maintenance to minimize costs. By the end of this book, you'll have developed the skills you need to start using ESP32 in your next wireless IoT project and meet the project's requirements by building effective, efficient, and secure solutions.
Table of Contents (18 chapters)
1
Section 1: Using ESP32
7
Section 2: Local Network Communication
12
Section 3: Cloud Communication

Summary

In this final chapter, we put almost everything into practice that we have learned throughout the book. On the hardware side of the project, the buttons were the sensors of the solution and the relays were the actuators. In the Wi-Fi library, we used ESP32 in the station mode to connect to the local Wi-Fi network for the given credentials. The most interesting part of this practice was the implementation of Alexa support, which required the utilization of cloud resources. We configured AWS IoT Core, developed the backend code in AWS Lambda, and created a smart home skill in the Alexa Developer Console to add a voice interface to the smart fan. In the device firmware, we used the AWS device SDK to communicate with AWS IoT Core. It is highly likely that you'll face similar challenges in any kind of IoT project. Therefore, this chapter provided a great opportunity to gain experience of the complete picture.

I want to thank you for coming so far and developing the projects...