A Simulation Study of a Self-organizing "spider Web" UAV Defense Detection Network Based on Ant Colony Optimization

Abstract

The rapid development of Unmanned Aerial Vehicle (UAV) swarms poses a significant challenge to traditional defense systems. This paper proposes and simulates a novel "Spider Web"UAV defense self-organizing detection network system. Its core idea is to utilize Ant Colony Optimization (ACO) algorithms to guide a defensive UAV swarm for efficient self-organized patrol and detection. The system constructs a multi-layered defense area centered on a protected target, including a core defense zone and a dynamically scalable warning zone. Defensive UAVs autonomously fill "gaps"in the detection network by sensing and responding to changes in virtual "pheromones,"enabling rapid response to intruding threats [1]-[15].