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

Creating web and mobile dashboards

After uploading the code to the device, it’s time to set up a dashboard for web and mobile to visualize data with different widgets. Figure 6.24 demonstrates the visualization of readings with different widgets.

Figure 6.24 – The Thing dashboard

Figure 6.24 – The Thing dashboard

We have four readings from the GPS module to visualize. Here, I have used four widgets: one gauge, two values, and one map. The gauge widget shows Speed Per Mile, while the two value widgets have been used to display Altitude Feet and Satellite Count. The map widget was used to display Location based on the latitude and longitude coordinates, which are stored in a cloud-based location variable. Currently, the map widget is only capable of displaying the location of the asset device based on coordinates; if you have multiple assets to track, then you need to set up multiple map widgets according to the number of tracking devices.

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