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 language | English |
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Title of host publication | 2018 IEEE Vehicular Networking Conference, VNC 2018 |
Editors | Chih-Yu Wang, Kate Lin, Hsin-Mu Tsai, Mate Boban, Taylan Sahin, Onur Altintas |
Publisher | IEEE Computer Society |
Pages | 1-2 |
Volume | 2018-December |
ISBN (Electronic) | 9781538694282 |
DOIs | |
Publication status | Published - 28 Jan 2019 |
Event | 2018 IEEE Vehicular Networking Conference, VNC 2018 - Taipei, Taiwan, Taipei, Taiwan Duration: 5 Dec 2018 → 7 Dec 2018 |
Publication series
Name | IEEE Vehicular Networking Conference (VNC) |
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Publisher | IEEE |
ISSN (Print) | 2157-9857 |
ISSN (Electronic) | 2157-9865 |
Conference
Conference | 2018 IEEE Vehicular Networking Conference, VNC 2018 |
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Country/Territory | Taiwan |
City | Taipei |
Period | 5/12/18 → 7/12/18 |
Keywords
- CAV
- DSRC
- Full-Stack Simulations
- IEEE 802.11p
- INET Framework
- Omnet++
- Vehicular Communications
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Dive into the research topics of 'Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications'. Together they form a unique fingerprint.Prizes
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IEEE Popularity Award
Mavromatis, I. (Recipient), Tassi, A. (Recipient), Piechocki, R. (Recipient) & Nix, A. (Recipient), 7 Dec 2018
Prize: Prizes, Medals, Awards and Grants