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 short-range communications

Short-range communication typically limits itself to utilization within a building, such as a home. Technologies such as Bluetooth, Zigbee, and Wi-Fi are frequently used for short-range communication. Let’s briefly consider some of these technologies.

Bluetooth

When you work with Bluetooth, the network that you set up is frequently called a Personal Area Network (PAN). These networks have extremely short coverage, usually around 30 feet or 10 meters, and normally support peer-to-peer communication. You can find these frequently implemented between phones and other devices such as speakers, headsets, wearables, and automobiles. Some microcontrollers that have onboard Wi-Fi also have Bluetooth capabilities. You will need to read the documentation of the board to find this information. For example, the Arduino MKR WiFi 1010 has an onboard u-blox Nina-W10 chip that gives it Wi-Fi and Bluetooth capabilities. As a result, you can write and...

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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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