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 %.
Authors
- Jaromír Hrad (ORCID: https://orcid.org/0000-0002-4026-0080)
- Akeel Othman (ORCID: https://orcid.org/0000-0002-7031-5484)
- Dušan Maga (ORCID: https://orcid.org/0000-0001-8176-2151)
Institutions
- Czech Technical University in Prague (CZ)
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