IoT & Hardware
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You're reading from  Arduino Data Communications

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837632619
Edition1st Edition
Concepts
Embedded Systems
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Author (1)
Robert Thas John
Robert Thas John
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Robert Thas John

Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers – roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers. He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals.
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Working with The Things Network

TNN is a public LoRaWAN network server that makes it easy to register gateways, applications, and devices (nodes) and to transmit data from nodes to the network server via the registered gateways.

TTN enforces a few constraints that you need to be aware of before you start using it. These include the following:

  • Only transmitting binary data
  • Keeping data sizes as small as possible
  • Avoiding continuous data transmission
  • Utilizing an Adaptive Data Rate (ADR)
  • Avoiding downlink messages if possible
  • Avoiding confirmed uplinks

You can get started by visiting https://www.thethingsnetwork.org/ and creating an account. When you log in, you will be met with a console that lets you manage either applications or gateways. The top of the console looks like the following.

Figure 7.2 – TTN console

Figure 7.2 – TTN console

Let’s take a look at gateways.

Understanding gateways on TTN

When you visit the Gateways...

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Arduino Data Communications
Published in: Nov 2023Publisher: PacktISBN-13: 9781837632619
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Robert Thas John

Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers – roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers. He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals.
Read more about Robert Thas John

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