Abstract
Channel congestion Is one of the most critical Issues In IEEE 802.11p-based vehicular ad hoc networks as it leads to unreliability of safety applications. As a counter measure, the European Telecommunications Standard Institute (ETSI), proposes a mandatory Decentralized Congestion Control (DCC) framework to control the channel load, by tuning transmission parameters, such as message-rate or data-rate. This paper defines a novel decentralized combined message-rate and data-rate congestion control (MD-DCC) scheme, which provides a fair and effective way of message-rate and data-rate allocation among vehicles to avoid congestion and satisfy application requirements. We discuss several implementation aspects such as the selection of parameters of MD-DCC and their relation with the application requirements. Simulations studies are presented to show the performance of MD-DCC in terms of application reliability and fairness. Our results show that, for various application requirements in a synthetic highway scenario and for various vehicular densities, MD-DCC outperforms other approaches that adapt only message-rate or data-rate. We conclude that MD-DCC takes the best of both message-rate and data-rate algorithms, resulting in superior application reliability as well as a dramatic increase in the maximum supported vehicular density.
| Original language | English |
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| Title of host publication | 2017 IEEE Vehicular Networking Conference, VNC 2017 |
| Place of Publication | Brussels |
| Publisher | IEEE Computer Society |
| Pages | 271-278 |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-5386-0986-6 |
| ISBN (Print) | 978-1-5386-0987-3 |
| DOIs | |
| Publication status | Published - 30 Jan 2018 |
| Event | 2017 IEEE Vehicular Networking Conference (VNC 2017) - Torino, Italy Duration: 27 Nov 2017 → 29 Nov 2017 Conference number: 9 http://www.ieee-vnc.org/2014/2017/ http://www.ieee-vnc.org/ |
Conference
| Conference | 2017 IEEE Vehicular Networking Conference (VNC 2017) |
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| Abbreviated title | VNC 2017 |
| Country/Territory | Italy |
| City | Torino |
| Period | 27/11/17 → 29/11/17 |
| Internet address |
Funding
ACKNOWLEDGMENT The work in this paper is supported by the TU/e Impuls program, a strategic cooperation between NXP Semiconductors and Eindhoven University of Technology. It was partially funded by the European ARTEMIS EMC2 subsidy project.