Book Image

Arduino IoT Cloud for Developers

By : Muhammad Afzal
Book Image

Arduino IoT Cloud for Developers

By: Muhammad Afzal

Overview of this book

The Arduino IoT Cloud offers a variety of features for building modern IoT solutions while reducing time and costs for prototyping and deployment. This book is a step-by-step guide, helping you master the powerful Arduino IoT Cloud ecosystem. This book begins by introducing you to the IoT landscape including its architecture, communication technologies, and protocols and then to the capabilities of the Arduino IoT Cloud platform and the Cloud Editor. With practical projects, such as monitoring air quality, building a portable asset tracker, and creating a remote alarm system using the LoRaWAN specification, you'll learn how to implement real-world IoT applications. Next, you'll explore communication between IoT devices and cloud platforms as well as the implementation of the Arduino IoT Cloud SDK and JavaScript for advanced customization. You'll also find out how to program IoT nodes, analyze the surrounding environment data, and visualize it on dashboards. Additionally, you’ll get to grips with advanced features such as task scheduling, synchronization, remote over-the-air updates for IoT nodes, and scripting with CCLI, through hands-on examples. By the end of this book, you’ll have learned how to work with the Arduino IoT Cloud platform and related hardware devices and will be able to develop industry-specific and cost-effective IoT solutions, such as smart homes and smart agriculture.
Table of Contents (21 chapters)
1
Part 1: Introduction to IoT and Communication Technologies and the Arduino IoT Cloud
5
Part 2: Getting Hands-On with Different Communication Technologies
9
Part 3: Exchanging Data between Nodes and Cloud Applications
14
Part 4: Learning Advanced Features of the Arduino IoT Cloud and Looking Ahead

Summary

In this chapter, we explored how to develop a low-cost wearable smart heart-rate monitoring system using the XIAO ESP32C3 and a pulse sensor. One important thing to note was the necessity of calibrating medical sensors before using them in the field. We set up a Thing, which included cloud variable creation, device association, network configuration, and coding for our development board. Later, we created a dashboard to visualize our sensor readings with different widgets to display both current readings and historical data with the help of graphs. Finally, we used Zapier to set up an email notification service based on thresholds using webhooks and saw how to employ webhooks to integrate third-party services with the Arduino IoT Cloud.

In the next chapter, we will learn about scripting in the Arduino IoT Cloud with the Arduino Cloud CLI (CCLI). This is a command-line tool that provides access to Arduino IoT Cloud services via terminal commands. We will use the Arduino IoT...