Book Image

MQTT Essentials - A Lightweight IoT Protocol

5 (1)
Book Image

MQTT Essentials - A Lightweight IoT Protocol

5 (1)

Overview of this book

This step-by-step guide will help you gain a deep understanding of the lightweight MQTT protocol. We’ll begin with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. Then, you will use best practices to secure the MQTT Mosquitto broker to ensure that only authorized clients are able to publish and receive messages. Once you have secured the broker with the appropriate configuration, you will develop a solution that controls a drone with Python. Further on, you will use Python on a Raspberry Pi 3 board to process commands and Python on Intel Boards (Joule, Edison and Galileo). You will then connect to the MQTT broker, subscribe to topics, send messages, and receive messages in Python. You will also develop a solution that interacts with sensors in Java by working with MQTT messages. Moving forward, you will work with an asynchronous API with callbacks to make the sensors interact with MQTT messages. Following the same process, you will develop an iOS app with Swift 3, build a website that uses WebSockets to connect to the MQTT broker, and control home automation devices with HTML5, JavaScript code, Node.js and MQTT messages
Table of Contents (16 chapters)
MQTT Essentials - A Lightweight IoT Protocol
Credits
About the Author
Acknowledgment
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Summary


In this chapter, we analyzed the requirements for controlling a drone with MQTT messages. We defined the topics that we will use and the commands that will be part of the messages' payloads to control a drone. Then, we worked with the Paho Python Client to write Python code that connected an MQTT client to the MQTT server.

We understood the methods we needed to call for the Paho Python Client and their parameters. We analyzed how callback worked and we were able to publish messages to topics, subscribe to topic filters, and receive and process messages.

We wrote code that processed commands for a drone with Python. The code is able to run on different IoT platforms, including Intel Joule boards and Raspberry Pi 3, and also on any computer that is capable of executing Python 2.7.x or Python 3.x. We worked with the network loop for the MQTT client in Python. We worked with a GUI utility, command-line based utilities, and, finally, with Python code to control the drone and display the...