Autonomous driving technology is evolving from L2 (Level 2) assisted driving to the L5 (Level 5) fully autonomous stage. During this transition

the limitations of traditional hierarchical communication architectures in dynamic resource allocation and real-time performance assurance have become increasingly apparent. This paper proposes an autonomous driving communication network architecture based on biological swarm intelligence

referencing the honeybee's waggle dance communication mechanism and the self-organization characteristics of bee colonies. The framework establishes a tri-element model comprising distributed communication graphs

vehicle nodes

and other components.