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Management of TinyML Enabled Internet of Things Devices

Lookup NU author(s): Dr Tomasz Szydlo

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

Internet of Things (IoT) systems are used in many aspects of our lives. Thanks to TinyML algorithms, they provide several new and smart functionalities that were impossible before. However, implementing such a solution on a large scale and maintaining it over time is a big challenge. This is due to the need to not only update the device firmware to remove errors and extend the functionality of the devices but also to update the ML models. This imposes several requirements for device monitoring and management mechanisms. In this article, we discuss not only the required aspects that an IoT system should meet, but we also show how they fit into the ML model management process.

Publication metadata

Author(s): Szydlo T, Nagy M

Publication type: Article

Publication status: Published

Journal: IEEE Micro

Year: 2025

Volume: 45

Issue: 1

Pages: 87-94

Print publication date: 01/01/2025

Online publication date: 29/03/2024

Acceptance date: 29/03/2024

Date deposited: 27/07/2024

ISSN (print): 0272-1732

ISSN (electronic): 1937-4143

Publisher: IEEE

URL: https://doi.org/10.1109/MM.2024.3382488

DOI: 10.1109/MM.2024.3382488

ePrints DOI: 10.57711/r7s8-qr24

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