Hybrid Distance-Based Redundancy Mitigation Mechanisms for Collective Perception in Connected and Automated Driving

This paper presents an extension to ETSI redundancy mitigation rules (RMRs) aimed at improving the efficiency of collective perception services in vehicular networks. The proposed mechanisms integrate the ETSI RMRs with distance-based criteria to exclude redundant locally perceived objects from collective perception messages (CPMs). The study evaluates the performance of several strategies: no RMR, self-announcement-based (SAB) RMR, the proposed distance-based SAB (DSAB) RMR, frequency-based (FB) RMR, and the proposed distance-based FB (DFB) RMR, across various market penetration rates. Key metrics analyzed include redundancy level (RL), channel busy ratio (CBR), and environment awareness ratio (EAR). The findings demonstrate that the distance-based extension consistently outperforms traditional methods in balancing redundancy, channel load, and environmental awareness, particularly at higher market penetration rates.