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Design and Performance of Congestion-Aware Collective Perception

: Delooz, Quentin; Riebl, Raphael; Festag, Andreas; Vinel, Alexey


Kargl, F. ; Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Vehicular Networking Conference, VNC 2020 : 16-18 December 2020, virtual conference
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-9222-2
ISBN: 978-1-7281-9221-5
8 S.
Vehicular Networking Conference (VNC) <2020, Online>
Fraunhofer IVI ()
V2X; decentralized congestion control; collective perception

In vehicular ad hoc networks, congestion control prevents the overloading of the wireless channel and ensures a fair distribution of the transmission resources. For ITS-G5-based vehicular networks, the European standardization by ETSI has specified a Decentralized Congestion Control (DCC) function at the access layer. This function controls the medium occupancy of a network node by enforcing maximum values of message transmission parameters. In the present paper, we study the impact of DCC on the performance of the collective perception service. This communication service enables vehicles and roadside stations to exchange messages with pre-processed sensor data. Since collective perception can considerably contribute to the network load, the transmission restrictions imposed by DCC affect the performance of the information exchange and the quality of the perception. The current design of collective perception in ETSI does not adapt the messages to the actual DCC constraints. We propose a novel approach for DCC-aware collective perception, which enhances the object filtering process of collective perception by dynamically adapting the message size to the DCC constraints and implicitly the message generation rate. Compared to the current ETSI design, the obtained results show a better quality of perception and channel usage, with a reduced message generation rate.