Toward a More Realistic Energy Consumption Model for IoT Nodes in Extreme-Edge Computing Environments

Hassan Hammoud, Hassan Hammoud, Frédéric Weis, Melen Leclerc, Jean-Marie Bonnin

2025

Abstract

As Internet of Things (IoT) networks grow, accurately modeling the energy consumption of individual IoT nodes has become essential for understanding and managing energy use in diverse applications. In extreme-edge computing scenarios, where processing is pushed as close to the device as possible to support local data manipulation, memory operations play a substantial role in power consumption. However, existing models in the literature primarily focus on communication, processing, and sensing, often overlooking the contribution of memory operations to overall energy use. This paper presents an extended energy model for IoT nodes, incorporating memory-related energy usage alongside traditional factors. Results show that addressing memory usage within the energy model provides a more comprehensive understanding of consumption patterns, supporting more effective management strategies for IoT applications. Furthermore, we propose an approach that optimizes power consumption by implementing data management techniques that efficiently handle data retrieval and storage.

Paper Citation

in Harvard Style

Hammoud H., Weis F., Leclerc M. and Bonnin J. (2025). Toward a More Realistic Energy Consumption Model for IoT Nodes in Extreme-Edge Computing Environments. In Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; ISBN 978-989-758-750-4, SciTePress, pages 69-80. DOI: 10.5220/0013273800003944

in Bibtex Style

@conference{iotbds25,
author={Hassan Hammoud and Frédéric Weis and Melen Leclerc and Jean-Marie Bonnin},
title={Toward a More Realistic Energy Consumption Model for IoT Nodes in Extreme-Edge Computing Environments},
booktitle={Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2025},
pages={69-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013273800003944},
isbn={978-989-758-750-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS
TI - Toward a More Realistic Energy Consumption Model for IoT Nodes in Extreme-Edge Computing Environments
SN - 978-989-758-750-4
AU - Hammoud H.
AU - Weis F.
AU - Leclerc M.
AU - Bonnin J.
PY - 2025
SP - 69
EP - 80
DO - 10.5220/0013273800003944
PB - SciTePress