Volume 47, Issue 1, November 2025, Pages 17–23
Lagasane Ouattara Kra1, Tahi Narcisse2, Losseni Kone3, and Olivier Asseu4
1 Alassane Ouattara University (AOU), Côte d’Ivoire
2 INPHB, Côte d’Ivoire
3 ESATIC d’Abidjan, Côte d’Ivoire
4 INPHB, Côte d’Ivoire
Original language: English
Copyright © 2025 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The energy efficiency of network equipment has become a priority in the current context of sustainability and cost reduction. This article examines hybrid strategies for improving this efficiency, integrating approaches based on software and hardware optimisation. Simulation results show a 30% improvement in energy efficiency over traditional methods. By comparing these results with other work, we discuss the implications of these strategies for the network industry.
Author Keywords: Energy efficiency, network equipment, hybrid strategies, machine learning, optimisation, sustainability.
Lagasane Ouattara Kra1, Tahi Narcisse2, Losseni Kone3, and Olivier Asseu4
1 Alassane Ouattara University (AOU), Côte d’Ivoire
2 INPHB, Côte d’Ivoire
3 ESATIC d’Abidjan, Côte d’Ivoire
4 INPHB, Côte d’Ivoire
Original language: English
Copyright © 2025 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The energy efficiency of network equipment has become a priority in the current context of sustainability and cost reduction. This article examines hybrid strategies for improving this efficiency, integrating approaches based on software and hardware optimisation. Simulation results show a 30% improvement in energy efficiency over traditional methods. By comparing these results with other work, we discuss the implications of these strategies for the network industry.
Author Keywords: Energy efficiency, network equipment, hybrid strategies, machine learning, optimisation, sustainability.
How to Cite this Article
Lagasane Ouattara Kra, Tahi Narcisse, Losseni Kone, and Olivier Asseu, “Energy Efficiency of Network Equipment: Best Hybrid Strategies,” International Journal of Innovation and Applied Studies, vol. 47, no. 1, pp. 17–23, November 2025.
