Evaluation of Machine Learning Algorithms for NB-IoT Module Energy Consumption Estimation Based on Radio Channel Quality

Evaluation of Machine Learning Algorithms for NB-IoT Module Energy Consumption Estimation Based on Radio Channel Quality

In this study, we propose a method to estimate energy consumption in battery-powered Narrowband Internet of Things (NB-IoT) devices using the statistical data available from the NB-IoT modem, thereby circumventing the need for additional circuitry to measure battery voltage or current consumption. A...

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Bibliographic Details
Main Authors: Dusan Bortnik, Vladimir Nikic, Srdjan Sobot, Dejan Vukobratovic, Ivan Mezei, Milan Lukic
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
NB-IoT
energy consumption estimation
LPWAN
machine learning
Online Access:https://ieeexplore.ieee.org/document/10817541/
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