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Hands-On Edge Analytics with Azure IoT

You're reading from   Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Length 262 pages
Edition 1st Edition
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Author (1):
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Colin Dow Colin Dow
Author Profile Icon Colin Dow
Colin Dow
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics FREE CHAPTER 3. How Does IoT Edge Analytics Work? 4. Communications Protocols Used in Edge Analytics 5. Section 2: Understanding Edge Analytics Technologies
6. Working with Microsoft Azure IoT Hub 7. Using the Raspberry Pi with Azure IoT Edge 8. Using MicroPython for Edge Analytics 9. Machine Learning and Edge Analytics 10. Designing a Smart Doorbell with Visual Recognition 11. Section 3: The Road Ahead
12. Security and Privacy in an Edge Analytics World 13. What Next? 14. Other Books You May Enjoy

Wi-Fi communication for edge analytics

Wireless communication is probably the most common technology used for IoT and edge analytics applications. We generally use Wi-Fi to connect our edge computer or microcontroller to a router for internet access.

Wi-Fi uses the IEEE 802.11 protocol and transmits with channels divided in the radio frequency ranges in and around 900 MHz, 2.4 GHz, 3.6 GHz, 4.9 GHz, 5 GHz, 5.9 GHz, and 60 GHz. The 2.4 GHz and 5 GHz frequencies are the most common.

To get a better understanding of what these frequencies mean, let's take a look at the radio frequency or RF spectrum.

Understanding the RF spectrum

Invisible radio waves are all around us. We take them for granted. To understand wireless communications...

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