Details
| Original language | English |
|---|---|
| Title of host publication | 35th IEEE Intelligent Vehicles Symposium |
| Subtitle of host publication | IV 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1847-1852 |
| Number of pages | 6 |
| ISBN (electronic) | 9798350348811 |
| ISBN (print) | 979-8-3503-4882-8 |
| Publication status | Published - 2 Jun 2024 |
| Event | 35th IEEE Intelligent Vehicles Symposium, IV 2024 - Jeju Island, Korea, Republic of Duration: 2 Jun 2024 → 5 Jun 2024 |
Publication series
| Name | IEEE Intelligent Vehicles Symposium, Proceedings |
|---|---|
| ISSN (Print) | 1931-0587 |
| ISSN (electronic) | 2642-7214 |
Abstract
Collective Perception will play a crucial role for ensuring vehicular safety in the near future, enabling the sharing of local perceived objects with other Intelligent Transport System Stations (ITS-Ss). However, at the beginning of the roll-out, low market penetration rates are expected. This paper proposes and evaluates an application layer multi-hop Collective Perception Service (CPS) for vehicular ad-hoc networks. The goal is to improve the environmental awareness ratio in scenarios with low CPS market penetration. In such scenarios, the CPS service without forwarding enabled struggles to achieve complete awareness. A decentralized application layer forwarding algorithm is presented that shares perceived object information across multiple hops while maintaining a low Age of Information (AoI). The proposed approach is compared against standard CPS with no forwarding and CPS with geographically-scoped (GBC) multi-hop forwarding. Simulations according to standards of the European Telecommunications Standards Institute (ETSI) demonstrate that the application layer forwarding achieves near 100% awareness at 10% penetration rate versus 92% for standard CPS. The awareness improvement comes with moderate channel load, unlike GBC forwarding which quickly saturates the channel. The median AoI remains below 80 ms for the proposed scheme, enabling real-time CPS operation. Our application layer multi-hop approach effectively improves environmental awareness during initial CPS deployment while aligning with latency and channel load requirements.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Automotive Engineering
- Mathematics(all)
- Modelling and Simulation
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35th IEEE Intelligent Vehicles Symposium: IV 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1847-1852 (IEEE Intelligent Vehicles Symposium, Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - An Application Layer Multi-Hop Collective Perception Service for Vehicular Adhoc Networks
AU - Wolff, Vincent Albert
AU - Xhoxhi, Edmir
AU - Tautz, Felix
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/6/2
Y1 - 2024/6/2
N2 - Collective Perception will play a crucial role for ensuring vehicular safety in the near future, enabling the sharing of local perceived objects with other Intelligent Transport System Stations (ITS-Ss). However, at the beginning of the roll-out, low market penetration rates are expected. This paper proposes and evaluates an application layer multi-hop Collective Perception Service (CPS) for vehicular ad-hoc networks. The goal is to improve the environmental awareness ratio in scenarios with low CPS market penetration. In such scenarios, the CPS service without forwarding enabled struggles to achieve complete awareness. A decentralized application layer forwarding algorithm is presented that shares perceived object information across multiple hops while maintaining a low Age of Information (AoI). The proposed approach is compared against standard CPS with no forwarding and CPS with geographically-scoped (GBC) multi-hop forwarding. Simulations according to standards of the European Telecommunications Standards Institute (ETSI) demonstrate that the application layer forwarding achieves near 100% awareness at 10% penetration rate versus 92% for standard CPS. The awareness improvement comes with moderate channel load, unlike GBC forwarding which quickly saturates the channel. The median AoI remains below 80 ms for the proposed scheme, enabling real-time CPS operation. Our application layer multi-hop approach effectively improves environmental awareness during initial CPS deployment while aligning with latency and channel load requirements.
AB - Collective Perception will play a crucial role for ensuring vehicular safety in the near future, enabling the sharing of local perceived objects with other Intelligent Transport System Stations (ITS-Ss). However, at the beginning of the roll-out, low market penetration rates are expected. This paper proposes and evaluates an application layer multi-hop Collective Perception Service (CPS) for vehicular ad-hoc networks. The goal is to improve the environmental awareness ratio in scenarios with low CPS market penetration. In such scenarios, the CPS service without forwarding enabled struggles to achieve complete awareness. A decentralized application layer forwarding algorithm is presented that shares perceived object information across multiple hops while maintaining a low Age of Information (AoI). The proposed approach is compared against standard CPS with no forwarding and CPS with geographically-scoped (GBC) multi-hop forwarding. Simulations according to standards of the European Telecommunications Standards Institute (ETSI) demonstrate that the application layer forwarding achieves near 100% awareness at 10% penetration rate versus 92% for standard CPS. The awareness improvement comes with moderate channel load, unlike GBC forwarding which quickly saturates the channel. The median AoI remains below 80 ms for the proposed scheme, enabling real-time CPS operation. Our application layer multi-hop approach effectively improves environmental awareness during initial CPS deployment while aligning with latency and channel load requirements.
UR - http://www.scopus.com/inward/record.url?scp=85199756336&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2404.07761
DO - 10.48550/arXiv.2404.07761
M3 - Conference contribution
AN - SCOPUS:85199756336
SN - 979-8-3503-4882-8
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1847
EP - 1852
BT - 35th IEEE Intelligent Vehicles Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE Intelligent Vehicles Symposium, IV 2024
Y2 - 2 June 2024 through 5 June 2024
ER -