Software Defined Internet of Vehicles for Automation and Orchestration

This article introduces an innovative networking approach to the Internet of Vehicles (IoV) for their automation and orchestration by redesigning the wireless edge framework. To this end, the authors propose to expand the Software Defined Networking (SDN) functionality from the edge network to the cars, i.e. equipping the vehicles with mobile base stations having SDN capabilities. By adopting such a novel approach, most of the impending IoV automation and orchestration challenges are ameliorated, which has been extremely difficult and non-trivial to tackle by using standard existing approaches. The three primary challenges identified in this context are a) the scalability of the network of connected autonomous vehicles, b) the desirable security of the IoV data networking, and c) the flexibility of quality of experience (QoE) perceived by the vehicles. To tackle the aforementioned three challenges, the authors design a policy-driven framework for a secure and efficient IoV networking paradigm and then investigate its performance via analytic modeling. More importantly, from the IoV data networking perspective, the authors design an intent-based flow offloading scheme to facilitate enhanced and adjustable QoE. Furthermore, the authors develop a rigorous analysis to quantify the efficiency of the proposed SDN-capable IoV data networking by modeling TCP connections over WiFi. Using mathematics as a tool for reasoning the three key challenges, the feasibility analysis is validated with extensive simulations. Finally, the authors provide new insights by deriving the stability conditions for the data flow dynamics of the proposed approach.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2021.3077363
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2021, IEEE.
• Authors:
  • Pokhrel, Shiva Raj
  • 0000-0001-5819-765X
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 3890-3899
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 22
  • Issue Number: 6
  • 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: Autonomous vehicles; Connected vehicles; Data communications; Traffic engineering; Vehicle to vehicle communications; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01788784
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 18 2021 12:12PM