Book Image

Hands-On MQTT Programming with Python

By : Gaston C. Hillar
Book Image

Hands-On MQTT Programming with Python

By: Gaston C. Hillar

Overview of this book

<p>MQTT is a lightweight messaging protocol for small sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python.</p> <p>The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. You will use different utilities and diagrams to understand the most important concepts related to MQTT. You will learn to make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server. You will also work with the different Quality of Service levels and later analyze and compare their overheads.</p> <p>You will write Python 3.x code to control a vehicle with MQTT messages delivered through encrypted connections (TLS 1.2), and learn how leverage your knowledge of the MQTT protocol to build a solution based on requirements. Towards the end, you will write Python code to use the PubNub cloud-based real-time MQTT provider to monitor a surfing competition.</p> <p>In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards.</p>
Table of Contents (9 chapters)

Summary

In this chapter, we combined everything we learned in the previous chapters to build a web-based dashboard with freeboard that displayed data in gauges every second. We built the solution from scratch. First, we analyzed the requirements and we understood how the IoT board embedded in a surfboard was going to provide us with the necessary data.

We coded a surfboard sensor emulator to work in the same way that the IoT board was working. Then, we configured the PubNub MQTT interface and we coded a surfboard monitor that collected data from the surfboard sensor emulator and published the data to the cloud-based PubNub MQTT interface. We coded a Python program that worked with two MQTT clients with two threaded loop interfaces.

Finally, we could take advantage of the fact that the messages published to the PubNub MQTT interface are also available on the PubNub network to easily...