Hierarchical Wireless Vehicular Fog Architecture: A Case Study of Scheduling Electric Vehicle Energy Demands
| Autor: | Mohammed Amine Togou, Lyes Khoukhi, Djabir Abdeldjalil Chekired |
|---|---|
| Přispěvatelé: | Environnement de Réseaux Autonomes (ERA), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), School of Electronic Engineering [Dublin] (Dublin City University (DCU)), Dublin City University [Dublin] (DCU), Equipe SAFE - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
business.product_category
business.industry Computer science 020208 electrical & electronic engineering Distributed management 020206 networking & telecommunications Cloud computing 02 engineering and technology 7. Clean energy Scheduling (computing) Base station [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Handover Automotive Engineering 0202 electrical engineering electronic engineering information engineering Internet access Wireless [INFO]Computer Science [cs] business Edge computing ComputingMilieux_MISCELLANEOUS Computer network |
| Zdroj: | IEEE Vehicular Technology Magazine IEEE Vehicular Technology Magazine, Institute of Electrical and Electronics Engineers, Inc., 2018, 13 (4), pp.116-126. ⟨10.1109/MVT.2018.2866268⟩ IEEE Vehicular Technology Magazine, 2018, 13 (4), pp.116-126. ⟨10.1109/MVT.2018.2866268⟩ |
| ISSN: | 1556-6072 |
| DOI: | 10.1109/MVT.2018.2866268⟩ |
| Popis: | Several novel and promising wireless vehicular-network applications have been developed recently. Examples include trip planning, media sharing, and Internet access. However, sufficient network resources [e.g., equipped vehicles, base stations (BSs), roadside units (RSUs), and other infrastructure] to support these applications are not yet available or are deployed at a slow pace. Moreover, these applications require considerable efforts in information gathering and data processing to allow quick decision making and fast feedback to all users. This imposes significant challenges on the development of an efficient wireless vehicularcommunication platform. In this article, we propose a new hierarchical software-defined-network (SDN)-based wireless vehicular fog architecture called a hierarchical SDN for vehicular fog (HSVF) architecture. The HSVF is based on a hybrid SDN control plane that reinforces centralized and distributed management. The proposed SDN control plane includes a trajectory prediction module to mitigate the drawbacks of the frequent handover problem between the RSUs and vehicles. The proposed architecture is then evaluated using a relevant case study that addresses the scheduling of electric vehicle (EV) energy demands. |
| Databáze: | OpenAIRE |
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