Coexistence of decentralized congestion control algorithms for V2V communication

Chetan Belagal Math, Hong Li, Luis F. Abanto-Leon, Sonia Heemstra De Groot, Ignas Niemegeers

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

Channel congestion is one of the most critical issues in IEEE 802.11p-based vehicular communications as it leads to the unreliability of safety applications. As a countermeasure, many Decentralized Congestion Control (DCC) algorithms have been proposed. One of the most prominent DCC algorithms is the message-rate based LIMERIC. Recently, algorithms have also been proposed to support higher vehicle density (better scalability). One of such algorithms is the combined message-rate and data-rate based congestion control algorithm (MD-DCC). MD-DCC can support around 2.7 times higher vehicular density than LIMERIC. However, if LIMERIC has been deployed, can MD-DCC be introduced and coexist well with LIMERIC. The objective of this paper is to investigate how MD-DCC coexists with LIMERIC. Given a scenario where vehicles may use either LIMERIC or MD-DCC, we study the impact of coexistence on channel load, fairness and reliability of vehicles at different densities. Simulation studies show that there is no significant degradation of reliability both for LIMERIC and MD-DCC at different densities. On the contrary, coexistence can improve the reliability of LIMERIC vehicles. Furthermore, MD-DCC can support vehicles at large densities even when it coexists with LIMERIC retaining its scalability. However, fair allocation of resources is not guaranteed when LIMERIC and MD-DCC coexist.

TaalEngels
Titel2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie978-1-5386-6355-4
DOI's
StatusGepubliceerd - 20 jul 2018
Evenement87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duur: 3 jun 20186 jun 2018

Congres

Congres87th IEEE Vehicular Technology Conference, VTC Spring 2018
LandPortugal
StadPorto
Periode3/06/186/06/18

Vingerafdruk

Congestion control (communication)
Decentralized Control
Congestion Control
Coexistence
Control Algorithm
Communication
Scalability
Degradation
Vehicular Communications
Countermeasures
Fairness
Congestion
Safety
Simulation Study

Citeer dit

Math, C. B., Li, H., Abanto-Leon, L. F., De Groot, S. H., & Niemegeers, I. (2018). Coexistence of decentralized congestion control algorithms for V2V communication. In 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings [8417880] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/VTCSpring.2018.8417880
Math, Chetan Belagal ; Li, Hong ; Abanto-Leon, Luis F. ; De Groot, Sonia Heemstra ; Niemegeers, Ignas. / Coexistence of decentralized congestion control algorithms for V2V communication. 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings. Piscataway : Institute of Electrical and Electronics Engineers, 2018.
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Math, CB, Li, H, Abanto-Leon, LF, De Groot, SH & Niemegeers, I 2018, Coexistence of decentralized congestion control algorithms for V2V communication. in 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings., 8417880, Institute of Electrical and Electronics Engineers, Piscataway, Porto, Portugal, 3/06/18. DOI: 10.1109/VTCSpring.2018.8417880

Coexistence of decentralized congestion control algorithms for V2V communication. / Math, Chetan Belagal; Li, Hong; Abanto-Leon, Luis F.; De Groot, Sonia Heemstra; Niemegeers, Ignas.

2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings. Piscataway : Institute of Electrical and Electronics Engineers, 2018. 8417880.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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AU - Li,Hong

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AU - De Groot,Sonia Heemstra

AU - Niemegeers,Ignas

PY - 2018/7/20

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N2 - Channel congestion is one of the most critical issues in IEEE 802.11p-based vehicular communications as it leads to the unreliability of safety applications. As a countermeasure, many Decentralized Congestion Control (DCC) algorithms have been proposed. One of the most prominent DCC algorithms is the message-rate based LIMERIC. Recently, algorithms have also been proposed to support higher vehicle density (better scalability). One of such algorithms is the combined message-rate and data-rate based congestion control algorithm (MD-DCC). MD-DCC can support around 2.7 times higher vehicular density than LIMERIC. However, if LIMERIC has been deployed, can MD-DCC be introduced and coexist well with LIMERIC. The objective of this paper is to investigate how MD-DCC coexists with LIMERIC. Given a scenario where vehicles may use either LIMERIC or MD-DCC, we study the impact of coexistence on channel load, fairness and reliability of vehicles at different densities. Simulation studies show that there is no significant degradation of reliability both for LIMERIC and MD-DCC at different densities. On the contrary, coexistence can improve the reliability of LIMERIC vehicles. Furthermore, MD-DCC can support vehicles at large densities even when it coexists with LIMERIC retaining its scalability. However, fair allocation of resources is not guaranteed when LIMERIC and MD-DCC coexist.

AB - Channel congestion is one of the most critical issues in IEEE 802.11p-based vehicular communications as it leads to the unreliability of safety applications. As a countermeasure, many Decentralized Congestion Control (DCC) algorithms have been proposed. One of the most prominent DCC algorithms is the message-rate based LIMERIC. Recently, algorithms have also been proposed to support higher vehicle density (better scalability). One of such algorithms is the combined message-rate and data-rate based congestion control algorithm (MD-DCC). MD-DCC can support around 2.7 times higher vehicular density than LIMERIC. However, if LIMERIC has been deployed, can MD-DCC be introduced and coexist well with LIMERIC. The objective of this paper is to investigate how MD-DCC coexists with LIMERIC. Given a scenario where vehicles may use either LIMERIC or MD-DCC, we study the impact of coexistence on channel load, fairness and reliability of vehicles at different densities. Simulation studies show that there is no significant degradation of reliability both for LIMERIC and MD-DCC at different densities. On the contrary, coexistence can improve the reliability of LIMERIC vehicles. Furthermore, MD-DCC can support vehicles at large densities even when it coexists with LIMERIC retaining its scalability. However, fair allocation of resources is not guaranteed when LIMERIC and MD-DCC coexist.

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DO - 10.1109/VTCSpring.2018.8417880

M3 - Conference contribution

BT - 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

ER -

Math CB, Li H, Abanto-Leon LF, De Groot SH, Niemegeers I. Coexistence of decentralized congestion control algorithms for V2V communication. In 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers. 2018. 8417880. Beschikbaar vanaf, DOI: 10.1109/VTCSpring.2018.8417880