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

By Jiafu Wan, Daqiang Zhang, Shengjie Zhao, Laurence Tianruo Yang, Jaime Lloret. IEEE Communications Magazine, 2014

364 citations recorded by the source corpus.

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.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/30ee97723f46e01dfeb366c019c441b83b4c6352

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In Automotive Engineering

  1. Kejie Lu

In Electrical and Electronic Engineering

  1. Min Chen
  2. Xuemin Shen
  3. A. Abdullah
  4. Mohammad Mehedi Hassan
  5. Athanasios V. Vasilakos
  6. Dongyao Jia
  7. Kejie Lu
  8. Jianping Wang

In Mechanical Engineering

  1. Bin Hu
  2. A. Abdullah

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