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Learning AWS IoT

You're reading from   Learning AWS IoT Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Length 278 pages
Edition 1st Edition
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with AWS IoT 2. Connecting IoT Devices to AWS IoT Platform FREE CHAPTER 3. Optimizing IoT Computing Using AWS Greengrass 4. Building Local AWS Lambda with AWS Greengrass 5. Expanding IoT Capabilities with AWS IoT Button 6. Visualizing AWS IoT Data 7. Building Predictive Analytics for AWS IoT 8. Securing AWS IoT 9. Other Books You May Enjoy

Introducing a connectivity model for AWS IoT

AWS IoT provides several connectivity models to enable IoT devices to establish their connection. Currently, AWS IoT offers the following protocols:

  • Message Queuing Telemetry Transport (MQTT)
  • Hypertext Transfer Protocol (HTTP)
  • MQTT over Websocket 

We can build a connectivity model between IoT devices and the AWS IoT backend. We can categorize the IoT device platform into the following three models based on their supported connectivity:

  • For an IoT device with network capabilities, if this device has all the support required by AWS IoT, then this device can access AWS IoT directly.
  • The second connectivity model is to build a connection to AWS IoT through a gateway. This approach is applied for an IoT device that has network capabilities which are not supported for AWS IoT protocols.
  • The last approach is to be applied to IoT devices...
You have been reading a chapter from
Learning AWS IoT
Published in: Jan 2018
Publisher: Packt
ISBN-13: 9781788396110
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