A Robust Multi-Objective Relay Optimization Scheme for Wavefront-Based Information Dissemination in Autonomous Vehicle Fleets

Autonomous vehicle fleets have been used as the communication infrastructure basis for information dissemination in cooperative autonomous driving scenarios such as urban intersections, toll plazas, and congested highways. In the specific scenario of highly dynamic and localized environments, existing dissemination methods suffer from scalability, latency, and reliability issues. In this paper, we propose an enhanced wavefront-based information dissemination (WBID) scheme to address the inefficient and unreliable propagation of critical information. The scheme integrates improved diffusion models with a hybrid robust control-based distributed optimization (HRCDO) mechanism and an adaptive multi-hop communication (AMHC) mechanism to jointly regulate spatiotemporal information propagation speed, relay decision robustness, and communication efficiency so that information dissemination can remain low latency, high coverage, and reliable under rapidly varying vehicle density and environmental uncertainty. Experimental results demonstrate that the proposed WBID scheme, utilizing the advanced multi-objective relay optimization algorithm (AMOROA), achieves a 95% information coverage, reduces dissemination time by 40%, and lowers communication overhead by 25% compared to existing methods.