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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Utilizing long-range communications

Beyond PANs and Local Area Networks (LANs), there are situations that require microcontrollers to communicate over longer distances. Sometimes these devices are fixed, while at other times they are in motion. The following technologies cater to these scenarios.

LoRaWAN

LoRaWAN is based on the promise of two things: low power and long range. It is not designed for transmitting at broadband speeds, but the small packets of data that it transmits can reach great distances without requiring the devices to consume a lot of power. LoRaWAN networks utilize a point-to-multipoint topology. LoRaWAN gateways are connected to power and the internet, and they relay messages from endpoint clients. LoRaWAN devices can communicate at distances reaching 16 km in open fields, and 5 km in densely populated areas.

LoRaWAN gateways come in both indoor and outdoor variants, and you can easily set one up yourself. Additionally, you can configure your 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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