IEEE Communications Magazine · 2014 · 374 citations · 14 references
ComputingAutomotive EngineeringCloud ComputingCloud ArchitectureCloud InfrastructureMobile ComputingContext-aware ComputingIntelligent Transportation SystemsMobile Cloud ComputingVehicle Communication NetworksVehicle CybersecurityVehicle-to-everything CommunicationCloud - Cloud InteractionsContext-aware SecurityMobile Cloud ArchitectureSecurity In Vehicular NetworksVehicle RoutingVehicular Ad Hoc NetworksVehicular Edge ComputingWireless Communication Systems
Advances in wireless communication, mobile cloud computing, and context‑aware technologies are driving interest in vehicular networks and the evolution toward cloud‑assisted context‑aware vehicular cyber‑physical systems. The article proposes a multi‑layered context‑aware architecture that incorporates vehicular social networks and context‑aware vehicular security. It demonstrates a cloud‑assisted dynamic parking scenario, outlines the architecture and logic flow, and discusses challenges and solutions for safety hazard prediction, dynamic routing, and vehicular cloud integration.
The advances in wireless communication techniques, mobile cloud computing, and context- aware technologies boost a growing interest in the design, development, and deployment of vehicular networks for emerging applications. This leads to an increasing evolutionary tendency to change from vehicular networks toward cloud-assisted context-aware vehicular cyberphysical systems. In this article, we first propose a multi-layered context-aware architecture and introduce two crucial service components, vehicular social networks and context-aware vehicular security. Then we propose an application scenario regarding the context-aware dynamic parking services by illuminating the cloud-assisted architecture and logic flow. Finally, we investigate the challenges and possible solutions, including context-aware safety hazard prediction, context-aware dynamic vehicle routing, and context-aware vehicular clouds.
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Toward cloud-based vehicular networks with efficient resource management
Rong Yu, Yan Zhang, Stein Gjessing et al. · IEEE Network · 2013 · 416 citations
Rethinking Vehicular Communications: Merging VANET with cloud computing
Rasheed Hussain, Junggab Son, Hasoo Eun et al. · 2012 · 277 citations