Offense-Defense Distributed Decision Making for Swarm vs. Swarm Confrontation While Attacking the Aircraft Carriers

The effectiveness of multiple UAVs at attacking the enemy target and defending against simultaneously gained researchers’ attention due to their cost efficiency high mission success rates. This paper explores UAV swarm vs. offense/defense confrontation decision-making while aircraft carriers on open seas. system is developed as a multi-agent system. Precisely, every modeled an independent agent, which free make decisions based behavioral rules swarm, detection radius, location. A distributed auction-based algorithm with limited data-sharing rate ability formulated among UAVs. critical feature proposed strategy that it empowers each in real-time during presence relatively communication hardware terms update within parameters are optimized obtain improved allocation elimination. Simulation results presented show Offence-Defense UAV-based Strategy.