• DocumentCode
    13633
  • Title

    Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions

  • Author

    Jiafu Wan ; Daqiang Zhang ; Shengjie Zhao ; Yang, Lei ; Lloret, Jaime

  • Author_Institution
    Sch. of Mech. & Automotive Eng., South China Univ. of Technol. (SCUT), Guangzhou, China
  • Volume
    52
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    106
  • Lastpage
    113
  • Abstract
    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.
  • Keywords
    cloud computing; software architecture; ubiquitous computing; cloud support; cloud-assisted architecture; context-aware dynamic parking services; context-aware dynamic vehicle routing; context-aware safety hazard prediction; context-aware vehicular clouds; context-aware vehicular cyber-physical systems; context-aware vehicular security; logic flow; multilayered context-aware architecture; vehicular social networks; Cloud computing; Computer architecture; Context awareness; Social network services; Vehicle routing; Wireless communication;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2014.6871677
  • Filename
    6871677