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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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INTEGRATION DE SDN POUR L OPTIMISATION DES PERFORMANCES DANS L INFORMATIQUE MOBILE EDGE IOT

Authors: Sombodi Bin Selemani Chris , Kasongo Nyange Franck and Kaj Nawej Chancelle;

INTEGRATION DE SDN POUR L OPTIMISATION DES PERFORMANCES DANS L INFORMATIQUE MOBILE EDGE IOT

Abstract

The article explores the integration of the Internet of Things (IoT) with Mobile Edge Computing using a Software-Defined Networking (SDN) approach. The main goal is to enhance network efficiency and management in IoT environments by leveraging SDN capabilities at the edge.SDN enables centralized network control, allowing for dynamic configuration and programmability of network infrastructure. The study highlights how this approach can improve the performance of IoT applications deployed at the edge while ensuring efficient resource utilization.In conclusion, adopting SDN within Edge Computing for IoT offers new opportunities for creating smarter and more adaptable networks, capable of meeting growing demands for connectivity and data processing at the networks periphery.The combination of IoT and Mobile Edge Computing provides significant advantages in terms of data proximity and reduced latency for applications. However, effective resource management remains a major challenge. This article proposes an SDN-oriented approach to improve resource handling in this context. By applying SDN principles, the approach enables more dynamic orchestration of network resources, leading to better adaptation to changing IoT application needs and more efficient resource allocation.

Keywords

Informatique mobile Edge IoT SDN gestion des ressources orchestration reseau EDGE Computing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average