Energy-Aware Adaptive QoS Algorithm for IoT

Today, energy management systems represent a cornerstone of every embedded system, especially in IoT devices, which have become a fundamental part of our lives in this digitalized world. Many researchers have focused on using EMS to conserve energy and extend the lifetime of IoT devices. We chose a different approach to provide more energy, thereby prolonging the operational lifetime of IoT devices and enhancing their QoS parameters. This approach is based on providing an energy-aware management system that adapts the QoS based on a machine learning model predicting the available solar energy hourly, which led to extending the operational lifetime of the IoT device by approximately 300 %, the QoS in terms of active duty cycle by 400 %, and transmission power strength by 200 %.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/me61309.2024.10789745
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Energy-Aware Adaptive QoS Algorithm for IoT

Jaromír Hrad, Akeel Othman, Dušan Maga
Energy Efficient Wireless Sensor Networks
article

Energy-Aware Adaptive QoS Algorithm for IoT

Jaromír Hrad, Akeel Othman, Dušan Maga
article en

Abstract

Today, energy management systems represent a cornerstone of every embedded system, especially in IoT devices, which have become a fundamental part of our lives in this digitalized world. Many researchers have focused on using EMS to conserve energy and extend the lifetime of IoT devices. We chose a different approach to provide more energy, thereby prolonging the operational lifetime of IoT devices and enhancing their QoS parameters. This approach is based on providing an energy-aware management system that adapts the QoS based on a machine learning model predicting the available solar energy hourly, which led to extending the operational lifetime of the IoT device by approximately 300 %, the QoS in terms of active duty cycle by 400 %, and transmission power strength by 200 %.

Czech Technical University in Prague (CZ)
Affordable and clean energy
Openalex Percentile: Top 73%
Energy Efficient Wireless Sensor Networks
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