Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

With the emergence of ever-growing advanced vehicular applications, the challenges to meet the demands from both communication and computation are increasingly prominent. Without powerful communication and computational support, various vehicular applications and services will still stay in the concept phase and cannot be put into practice in the daily life. Thus, solving this problem is of great importance. The existing solutions, such as cellular networks, roadside units (RSUs), and mobile cloud computing, are far from perfect because they highly depend on and bear the cost of additional infrastructure deployment. Given tremendous number of vehicles in urban areas, putting these underutilized vehicular resources into use offers great opportunity and value. Therefore, the authors conceive the idea of utilizing vehicles as the infrastructures for communication and computation, named vehicular fog computing (VFC), which is an architecture that utilizes a collaborative multitude of end-user clients or near-user edge devices to carry out communication and computation, based on better utilization of individual communication and computational resources of each vehicle. By aggregating abundant resources of individual vehicles, the quality of services and applications can be enhanced greatly. In particular, by discussing four types of scenarios of moving and parked vehicles as the communication and computational infrastructures, the authors carry on a quantitative analysis of the capacities of VFC. The authors unveil an interesting relationship among the communication capability, connectivity, and mobility of vehicles, and also find out the characteristics about the pattern of parking behavior, which benefits from the understanding of utilizing the vehicular resources. Finally, the authors discuss the challenges and open problems in implementing the proposed VFC system as the infrastructures. The authors' study provides insights for this novel promising paradigm, as well as research topics about vehicular information infrastructures.

• Record URL:
  https://doi.org/10.1109/TVT.2016.2532863
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Authors:
  • Hou, Xueshi
  • Li, Yong
  • Chen, Min
  • Wu, Di
  • Jin, Depeng
  • Chen, Sheng
• Publication Date: 2016-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 3860-3873
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 65
  • Issue Number: 6
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Cloud computing; Computer architecture; Mobile communication systems; Resource allocation; Telecommunications
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01602962
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 28 2016 4:16PM