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]. © 2025 IEEE.
Язык оригиналаАнглийский
Страницы434-439
Число страниц6
DOI
СостояниеОпубликовано - 2025
Событие7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) - Lipetsk, Российская Федерация
Продолжительность: 12 ноя 202514 ноя 2025

конференция

конференция7th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)
Страна/TерриторияРоссийская Федерация
ГородLipetsk
Период12/11/2514/11/25

ID: 150944276