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You're reading from  Arduino Data Communications

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837632619
Edition1st Edition
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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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Introduction to LoRa and LoRaWAN

A Wide Area Network (WAN) can be loosely defined as any technology that can connect devices across a large geographical area, and in some cases, even across the world. Working backward, we see that LoRaWAN is a WAN that we can set up using LoRA, which is a long-range, low-power technology. LoRaWAN is a type of Low-Power WAN (LPWAN) connectivity protocol. LoRa is the physical communication layer that powers LoRaWAN.

LPWAN setups do not provide a large bandwidth, meaning that devices can only send small amounts of data at any point in time, and usually at a periodic interval, such as hourly. It is important to note that you cannot send a continuous stream of data on a LoRaWAN network. You can’t send accelerometer data, for example. You also can’t send images and videos on the network. If you wish to conserve power, you will need to use a fire-and-forget methodology where you program devices to send messages without waiting for confirmation...

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Arduino Data Communications
Published in: Nov 2023Publisher: PacktISBN-13: 9781837632619

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