Book Image

Learning AWS IoT

By : Agus Kurniawan
Book Image

Learning AWS IoT

By: Agus Kurniawan

Overview of this book

The Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and versatile management console. This book initially introduces you to the IoT platforms, and how it makes our IoT development easy. It then covers the complete AWS IoT Suite and how it can be used to develop secure communication between internet-connected things such as sensors, actuators, embedded devices, smart applications, and so on. The book also covers the various modules of AWS: AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases. Near the end, the book supplies security-related best practices to make bi-directional communication more secure. When you've finished this book, you'll be up-and-running with the AWS IoT Suite, and building IoT projects.
Table of Contents (14 chapters)
Title Page
Packt Upsell

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...