Vehicular Named Data Networking Framework

Named Data Networking (NDN) might potentially help improve data acquisition efficiency in vehicular environments, so it is introduced into vehicular networks, namely vehicular NDN (VNDN). In the existing VNDN solutions, a large number of vehicles with high mobility are involved in forwarding messages, so it is hard to achieve request aggregation that is the main advantage of NDN and can help reduce the data acquisition delay. Moreover, the solutions employ flooding to achieve data retrieval without consumer mobility support, which increases the data acquisition cost and reduces the data acquisition success rate. In this paper, the authors propose a novel VNDN framework and aim to reduce the data acquisition delay and cost and improve the data acquisition success rate. In this framework, the cluster-chain vehicular backbone is constructed to enhance the stability of the backbone topology. Based on cluster chains, consumers can employ request aggregation and unicast to acquire data from the nearest provider. Moreover, consumer mobility is supported to guarantee successful retrieval of data in spite of high mobility of vehicles. This framework is quantitatively evaluated. According to the experimental results, compared with the VNDN approaches, the authors' framework reduces the data acquisition cost and delay by nearly 54.6% and 12.3%, respectively, and improves the data retrieval success rate by nearly 7.9%.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2019.2945784
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2020, IEEE.
• Authors:
  • Wang, Xiaonan
  • Li, Yanli
  • 0000-0003-1324-4082
• Publication Date: 2020-11

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 4705-4714
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 21
  • Issue Number: 11
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Computer network protocols; Connected vehicles; Data communications; Mobile communication systems; System architecture; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01761312
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: Dec 23 2020 12:17PM