Software-Defined Approach for Communication in Autonomous Transportation Systems

Piyush Dhawankar, Mohsin Raza, Hoa Le Minh, Nauman Aslam

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
23 Downloads (Pure)

Abstract

Autonomous driving technology offers a promising solution to reduce road accidents, traffic congestion, and fuel consumption. The management of vehicular networks is challenging as it demands mobility, location awareness, high reliability and low latency of data traffic. In this paper, we propose a novel communication architecture for vehicular network with 5G Mobile Networks and SDN technologies to support multiple core networks for autonomous vehicles and to tackle the potential challenges raised by the autonomous driving vehicles. Data requirements are evaluated for vehicular networks with respect to number of lanes and cluster size, to efficiently use the frequency and bandwidth. Also, the network latency requirements are analysed, which are mandatory constraints for all the applications where real time end-to-end communication is necessary. A test environment is also formulated to evaluate improvement in vehicular network using SDN-based approach over traditional core networks.
Original languageEnglish
Pages (from-to)152924
JournalEAI Endorsed Transactions on Energy Web
Volume4
Issue number12
DOIs
Publication statusPublished - 14 Jul 2017

Keywords

  • Autonomous driving Vehicles (ADVs)
  • Software Defined Network (SDN)
  • Network Function Virtualization (NFV)
  • Vehicle-to-Vehicle (V2V)
  • Vehicle–to-Infrastructure (V2I)
  • Vehicle-to-Everything (V2X)
  • Road-Side-Units (RSUs)
  • On-Board-Units (OBUs)
  • Evolved Packet Core (EPC)

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