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 LEDs wired to different IoT boards with MQTT messages over WebSockets. We defined the topics that we would use and the commands that would be part of the message's payloads to set the colors for the LEDs.

Then, we created an HTML 5 web page combined with JavaScript and the Eclipse Paho JavaScript asynchronous client to control LEDs. We wrote code to publish messages to target remote devices in JavaScript, and we were able to process the received messages to provide feedback to the user.

We worked with MQTT.js to write a Node.js script to process the commands that simulated the interaction with LEDs on different IoT boards. We were able to run the home automation web application and understand how all the pieces worked together by exchanging MQTT over WebSockets messages. We debugged JavaScript asynchronous code with Chrome Developer Tools to understand the code that the Paho JavaScript client executes when a new message...