A combined fair decentralized message-rate and data-rate congestion control for V2V communication

Chetan Belagal Math, Hong Li, Sonia Heemstra de Groot, Ignas Niemegeers

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaties (Scopus)

Uittreksel

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.

Originele taal-2Engels
Titel2017 IEEE Vehicular Networking Conference, VNC 2017
Plaats van productieBrussels
UitgeverijIEEE Computer Society
Pagina's271-278
Aantal pagina's8
ISBN van elektronische versie978-1-5386-0986-6
ISBN van geprinte versie978-1-5386-0987-3
DOI's
StatusGepubliceerd - 30 jan 2018
Evenement2017 IEEE Vehicular Networking Conference (VNC 2017) - Torino, Italië
Duur: 27 nov 201729 nov 2017
Congresnummer: 9
http://www.ieee-vnc.org/2014/2017/
http://www.ieee-vnc.org/

Congres

Congres2017 IEEE Vehicular Networking Conference (VNC 2017)
Verkorte titelVNC 2017
LandItalië
StadTorino
Periode27/11/1729/11/17
Internet adres

Vingerafdruk

Congestion control (communication)
communication
Communication
Vehicular ad hoc networks
Telecommunication
Tuning
fairness
telecommunication
scenario
simulation

Citeer dit

Belagal Math, C., Li, H., de Groot, S. H., & Niemegeers, I. (2018). A combined fair decentralized message-rate and data-rate congestion control for V2V communication. In 2017 IEEE Vehicular Networking Conference, VNC 2017 (blz. 271-278). Brussels: IEEE Computer Society. https://doi.org/10.1109/VNC.2017.8275616
Belagal Math, Chetan ; Li, Hong ; de Groot, Sonia Heemstra ; Niemegeers, Ignas. / A combined fair decentralized message-rate and data-rate congestion control for V2V communication. 2017 IEEE Vehicular Networking Conference, VNC 2017. Brussels : IEEE Computer Society, 2018. blz. 271-278
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Belagal Math, C, Li, H, de Groot, SH & Niemegeers, I 2018, A combined fair decentralized message-rate and data-rate congestion control for V2V communication. in 2017 IEEE Vehicular Networking Conference, VNC 2017. IEEE Computer Society, Brussels, blz. 271-278, 2017 IEEE Vehicular Networking Conference (VNC 2017), Torino, Italië, 27/11/17. https://doi.org/10.1109/VNC.2017.8275616

A combined fair decentralized message-rate and data-rate congestion control for V2V communication. / Belagal Math, Chetan; Li, Hong; de Groot, Sonia Heemstra; Niemegeers, Ignas.

2017 IEEE Vehicular Networking Conference, VNC 2017. Brussels : IEEE Computer Society, 2018. blz. 271-278.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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AB - 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.

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Belagal Math C, Li H, de Groot SH, Niemegeers I. A combined fair decentralized message-rate and data-rate congestion control for V2V communication. In 2017 IEEE Vehicular Networking Conference, VNC 2017. Brussels: IEEE Computer Society. 2018. blz. 271-278 https://doi.org/10.1109/VNC.2017.8275616