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Arduino Data Communications

You're reading from Arduino Data Communications Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM

Product type Paperback

Published in Nov 2023

Publisher Packt

ISBN-13 9781837632619

Length 286 pages

Edition 1st Edition

Tools

Arduino

Concepts

Embedded Systems

Author (1):

Robert Thas John

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Table of Contents (20) Chapters

Preface

1. Part 1:Introduction to Arduino and Sensor Data

2. Chapter 1: Getting Started with Arduino FREE CHAPTER

3. Chapter 2: Leveraging Various Sensors for Data Acquisition

4. Chapter 3: Prototyping with Shields

5. Chapter 4: Storing Data Collected from Sensors

6. Chapter 5: Implementing REST and MQTT Protocols for Communication

7. Part 2:Sending Data

8. Chapter 6: Utilizing Various Communication Technologies

9. Chapter 7: Communicating with LoRaWAN

10. Chapter 8: Working with Ethernet

11. Chapter 9: Leveraging Cellular Communication Technology

12. Chapter 10: Communicating via HC-12

13. Chapter 11: Managing Communication with RS-485

14. Part 3: Miscellaneous Topics

15. Chapter 12: Enhancing Security for Reducing Risk

16. Chapter 13: Scaling for High Availability

17. Chapter 14: Building and Manufacturing Hardware

18. Index

Why subscribe?

19. Other Books You May Enjoy

Technical requirements

We will make use of the following in this chapter:

Arduino MKR GSM 1400
Arduino MKR ENV Shield
Antenna (this is bundled with the microcontroller if you purchase directly from the Arduino Store)
The Arduino IDE
A SIM card
A 9V battery or similar source
A 9V-to-5V buck converter
The battery and buck converter can be replaced with a benchtop power supply if you have access to one
Cables

The code snippets for this chapter are available at the following GitHub URL: https://github.com/PacktPublishing/Arduino-Data-Communications/tree/main/chapter-9

The rest of the chapter is locked

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Authors (1)

Robert Thas John

Robert Thas John

Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers – roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers. He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals.

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