Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications

Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew Nix

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
160 Downloads (Pure)

Abstract

The field of parallel network simulation frameworks is evolving at a great pace. That is also because of the growth of Intelligent Transportation Systems (ITS) and the necessity for cost-effective large-scale trials. In this contribution, we will focus on the INET Framework and how we re-factor its single-thread code to make it run in a multi-thread fashion. Our parallel version of the INET Framework can significantly reduce the computation time in city-scale scenarios, and it is completely transparent to the user. When tested in different configurations, our version of INET ensures a reduction in the computation time of up to 43%.

Original languageEnglish
Title of host publication2018 IEEE Vehicular Networking Conference, VNC 2018
EditorsChih-Yu Wang, Kate Lin, Hsin-Mu Tsai, Mate Boban, Taylan Sahin, Onur Altintas
PublisherIEEE Computer Society
Pages1-2
Volume2018-December
ISBN (Electronic)9781538694282
DOIs
Publication statusPublished - 28 Jan 2019
Event2018 IEEE Vehicular Networking Conference, VNC 2018 - Taipei, Taiwan, Taipei, Taiwan
Duration: 5 Dec 20187 Dec 2018

Publication series

NameIEEE Vehicular Networking Conference (VNC)
PublisherIEEE
ISSN (Print)2157-9857
ISSN (Electronic)2157-9865

Conference

Conference2018 IEEE Vehicular Networking Conference, VNC 2018
CountryTaiwan
CityTaipei
Period5/12/187/12/18

Keywords

  • CAV
  • DSRC
  • Full-Stack Simulations
  • IEEE 802.11p
  • INET Framework
  • Omnet++
  • Vehicular Communications

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