Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 979-985 |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 9798350399462 |
| ISBN (Print) | 979-8-3503-9947-9 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Bilbao, Spanien Dauer: 24 Sept. 2023 → 28 Sept. 2023 |
Publikationsreihe
| Name | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
|---|---|
| ISSN (Print) | 2153-0009 |
| ISSN (elektronisch) | 2153-0017 |
Abstract
Connected Vehicles (CVs) are already being deployed rapidly on the roads. As the number of CVs continues to increase, so does the variety of messages they generate. Transmitting these messages effectively requires a significant amount of channel resources. To regulate the utilization of channel resources, congestion controllers have been incorporated into the ETSI ITS network protocol stack. In this paper, we present a novel algorithm for message orchestration capable of handling different types of V2X messages. In our study, we have successfully implemented our solution within a simulation framework and conducted a comparative analysis with existing algorithms, including the Decentralized Congestion Controller (DCC) Access, supplemented with its Facilities layer addition. Our results demonstrate that in a merging scenario, our solution not only achieves improved merging outcomes but also a higher packet delivery ratio for merging vehicles. Given that this solution can be easily adapted to other use cases, we anticipate it to be a valuable approach for the current state of ETSI ITS based networks.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Fahrzeugbau
- Ingenieurwesen (insg.)
- Maschinenbau
- Informatik (insg.)
- Angewandte Informatik
Zitieren
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- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. S. 979-985 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Application-Oriented Resource Orchestration Algorithm for Connected Vehicles
AU - Xhoxhi, Edmir
N1 - Publisher Copyright: © 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Connected Vehicles (CVs) are already being deployed rapidly on the roads. As the number of CVs continues to increase, so does the variety of messages they generate. Transmitting these messages effectively requires a significant amount of channel resources. To regulate the utilization of channel resources, congestion controllers have been incorporated into the ETSI ITS network protocol stack. In this paper, we present a novel algorithm for message orchestration capable of handling different types of V2X messages. In our study, we have successfully implemented our solution within a simulation framework and conducted a comparative analysis with existing algorithms, including the Decentralized Congestion Controller (DCC) Access, supplemented with its Facilities layer addition. Our results demonstrate that in a merging scenario, our solution not only achieves improved merging outcomes but also a higher packet delivery ratio for merging vehicles. Given that this solution can be easily adapted to other use cases, we anticipate it to be a valuable approach for the current state of ETSI ITS based networks.
AB - Connected Vehicles (CVs) are already being deployed rapidly on the roads. As the number of CVs continues to increase, so does the variety of messages they generate. Transmitting these messages effectively requires a significant amount of channel resources. To regulate the utilization of channel resources, congestion controllers have been incorporated into the ETSI ITS network protocol stack. In this paper, we present a novel algorithm for message orchestration capable of handling different types of V2X messages. In our study, we have successfully implemented our solution within a simulation framework and conducted a comparative analysis with existing algorithms, including the Decentralized Congestion Controller (DCC) Access, supplemented with its Facilities layer addition. Our results demonstrate that in a merging scenario, our solution not only achieves improved merging outcomes but also a higher packet delivery ratio for merging vehicles. Given that this solution can be easily adapted to other use cases, we anticipate it to be a valuable approach for the current state of ETSI ITS based networks.
UR - http://www.scopus.com/inward/record.url?scp=85186500595&partnerID=8YFLogxK
U2 - 10.1109/ITSC57777.2023.10422671
DO - 10.1109/ITSC57777.2023.10422671
M3 - Conference contribution
AN - SCOPUS:85186500595
SN - 979-8-3503-9947-9
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 979
EP - 985
BT - 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Y2 - 24 September 2023 through 28 September 2023
ER -