Vehicular Networks; Fog computing; Vehicular Fog Computing; Data Collection; Software Defined Networks
Résumé :
[en] With the integration of fog networks and vehicular networks, Vehicular Fog Computing (VFC) is a promising paradigm to efficiently collect data for improving safety, mobility, and driver experience during journeys. To this end, we exploit the Software-Defined Networking (SDN) paradigm to propose a fully-programmable, self-configurable, and context-aware data collection scheme for VFC. This scheme leverages a stochastic model to dynamically estimate the number of fog stations to be deployed. Our simulation results demonstrate that our proposed scheme provides lower latency and higher resiliency compared to classical data collection schemes.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
BOUALOUACHE, Abdelwahab ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
SOUA, Ridha ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
ENGEL, Thomas ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Toward an SDN-based Data Collection Scheme for Vehicular Fog Computing
Date de publication/diffusion :
07 juin 2020
Nom de la manifestation :
IEEE International Conference on Communications ICC'2020
Lieu de la manifestation :
Dublin, Irlande
Date de la manifestation :
from 07-06-2020 to 11-06-2020
Manifestation à portée :
International
Titre de l'ouvrage principal :
IEEE International Conference on Communications ICC'2020
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Projet européen :
H2020 - 814956 - 5G-DRIVE - 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China
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