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- Title
Improved energy efficiency in D2D healthcare communication.
- Authors
Abdennour, Anouar Ben; BenHamed, Toufik; Kabaou, Mohamed Ouwais; Rhaimi, Belgacem Chibani
- Abstract
This paper addresses the minimization of energy consumption in device-to-device (D2D) communications in the healthcare logistics domain. Given the vital importance of actions in this field for patients' lives, it is crucial to reduce the energy consumed by the devices used. This study aims to propose a fuzzy approach to predict the energy consumption induced by different protocols in D2D communications to minimize the energy consumption of healthcare logistics devices. A fuzzy supervisor is developed to evaluate and forecast the energy consumption of the devices in D2D communications. This approach allows for obtaining more accurate predictions and a better understanding of how device energy consumption can be reduced. Numerical simulations were conducted to validate the proposed method. The results show the efficiency and sustainability of D2D communication systems and a significant reduction in energy consumption when a classical method is applied.
- Subjects
ENERGY consumption forecasting; ENERGY consumption; MACHINE-to-machine communications; TELECOMMUNICATION systems
- Publication
International Journal of Advances in Soft Computing & Its Applications, 2023, Vol 15, Issue 2, p110
- ISSN
2710-1274
- Publication type
Article
- DOI
10.15849/IJASCA.230720.08