本文为美国海军研究院（作者：Nathan E. Padgett）的硕士论文，共121页。

边远军事基地的安全是一项艰巨但又至关重要的任务。边远地区通常离敌方战斗人员较近，距离支援部队较远；负责保卫基地的个人装备较少。这些地点通常也依赖空中补给任务来维持任务的准备状态和有效性。本文分析了成群的小型无人驾驶飞行器（UAV）如何协助防御作战。

为了实现这一点，我们创建了一个基于智能体的计算机仿真模型，它产生了一个战术问题（敌人试图攻击或渗透一个概念性的基地），这是一群无人机试图防御的。研究结果表明，当每一无人机覆盖面积不超过0.18平方英里且至少有40%的无人机装备有武器时，防御群能有效地阻止95%的攻击者。我的结论是，无人机是基地防御的一个很好的补充，特别是在建制能力较低的偏远前哨基地（有限的视野、防御装备等）特别有用。虽然这项研究专门针对对抗对中心基地的威胁，但群动力学的算法可以应用于未来的机动车队或飞行器防御问题，甚至可以应用于搜索和救援等和平时期的应用。

Security at remote military bases is a difficult, yet critical, mission.Remote locations are generally closer to enemy combatants and farther fromsupporting forces; the individuals charged with defending the bases do so with lessequipment. These locations are also usually reliant on air-resupply missions tomaintain mission readiness and effectiveness. This thesis analyzes how swarms ofsmall autonomous unmanned aerial vehicles (UAVs) could assist in defensiveoperations.

To accomplish this, I created an agent-based computer simulation model, whichcreates a tactical problem (enemies attempting to attack or infiltrate a notional base) thata swarm of UAVs attempts to defend against. Results indicate that a swarm caneffectively deter 95% of attackers if each UAV is responsible for covering no more than0.18 square miles and at least 40% of the UAVs are armed. I conclude that UAVs are anexcellent addition to base defense and are particularly helpful at remote outposts with lessorganic capability (limited field of view, defensive assets, etc.). While this research dealsspecifically with countering a threat to a central base, the algorithms for swarm dynamicscould be applied to future problems in mobile convoy or aircraft defense, and evenpeacetime applications like search and rescue.

1.  引言

2.  文献回顾

3.  模型

4.  分析

5.  结论

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