Research on the Design of Bio-inspired Autonomous Driving Communication Network Architecture

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.