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Learning AWS IoT

You're reading from  Learning AWS IoT

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Pages 278 pages
Edition 1st Edition
Languages
Author (1):
Agus Kurniawan Agus Kurniawan
Profile icon Agus Kurniawan
Toc

Table of Contents (14) Chapters close

Title Page
Packt Upsell
Contributors
Preface
1. Getting Started with AWS IoT 2. Connecting IoT Devices to AWS IoT Platform 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 1. Other Books You May Enjoy Index

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 that do not have network capabilities. We should attach these devices to a network device, such as Raspberry Pi, BeagleBone...
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