An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity

An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity

Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor data at a very high pace, making it a challenge to collect and store the data. This scenario brings about the need for effective data compression algorithms to make the data manageable among tiny and batter...

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Bibliographic Details
Main Authors: Gabriel Signoretti, Marianne Silva, Pedro Andrade, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
internet of things
online data compression
TinyML
eccentricity
evolving algorithm
LPWAN
Online Access:https://www.mdpi.com/1424-8220/21/12/4153

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