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Grant support

This research was funded by the Universidad Politecnica de Madrid Project "SDGine for Healthy People and Cities". This project received funding from the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement No. 945139 and from Telefonica I + D. This work was also partially supported by the HORIZON-JU-SNS2022 Research and Innovation Action project 6Green (Grant Agreement No. 101096925) and the UNICO-5G I + D Program project B5GEMINI-INFRA (Grant Agreement No. TSI-063000-2021-81).

Analysis of institutional authors

Brito, Jorge AndresCorresponding Author
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Article

Energy-Aware Edge Infrastructure Traffic Management Using Programmable Data Planes in 5G and Beyond

Publicated to:Sensors. 25 (8): 2375- - 2025-04-09 25(8), DOI: 10.3390/s25082375

Authors: Brito, Jorge Andres; Moreno, Jose Ignacio; Contreras, Luis M

Affiliations

Tel Innovac Digital, Madrid 28010, Spain - Author
Univ Politecn Madrid, Dept Ingn Sistemas Telematicos, ETSI Telecomunicac, Madrid 28040, Spain - Author

Abstract

Next-generation networks, particularly 5G and beyond, face rising energy demands that pose both economic and environmental challenges. In this work, we present a traffic management scheme leveraging programmable data planes and an SDN controller to achieve energy proportionality, matching network resource usage to fluctuating traffic loads. This approach integrates flow monitoring on programmable switches with a dynamic power manager in the controller, which selectively powers off inactive switches. We evaluate this scheme in an emulated edge environment across multiple urban traffic profiles. Our results show that disabling switches not handling traffic can significantly reduce energy consumption, even under relatively subtle load variations, while maintaining normal network operations and minimizing overhead on the control plane. We further include a projected savings analysis illustrating the potential benefits if the solution is deployed on hardware devices such as Tofino-based switches. Overall, these findings highlight how data plane-centric, energy-aware traffic management can make 5G-and-beyond edge infrastructures both sustainable and adaptable for future networking needs.

Keywords
5g and beyondEdge computingEnergy efficiencyEnergy proportionalityGreen computinGreen computingP4Programmable data planesSdnTraffic management

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Sensors due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category .

Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/88753/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 30
  • Downloads: 9
Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (BRITO COLLANTES, JORGE ANDRÉS) .

the author responsible for correspondence tasks has been BRITO COLLANTES, JORGE ANDRÉS.