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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

Long-distance communication using LoRa and Sigfox for edge analytics

For remote edge analytics or IoT applications, power consumption and signal range are important factors. As we've seen, 5G offers amazing data transfer rates and low latency, however, the range of 5G and cellular network technology, in general, is limited. Using a lower frequency and sacrificing data bandwidth may be a good option for our remote edge analytics and IoT applications. In the case of edge analytics, it may be the best option.

Two technologies designed for remote edge analytics and IoT applications are LoRa and Sigfox. We will take a look at both of these technologies in this section. Before we do though, let's discuss the Friis transmission formula equation and use it to back up the argument of using lower frequencies for communications.

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