Refining Counterswarm Tactics is an open-access Naval Postgraduate School thesis by Karl P. Flynn.
This research conducts a trade-off analysis of a point-defense counter-swarming scenario to evaluate the effectiveness and efficiency of two target assignment algorithms across various swarm characteristics. It compares a proximity-based targeting algorithm from previous counter-swarming studies with the Hungarian algorithm, which emphasizes targeting efficiency. The analysis was conducted through a dynamic simulation in which defending swarm members could engage attacking drones while the attackers aimed to destroy the friendly unit protected by the defensive swarm.
The findings reveal the conditions under which each targeting algorithm excels, particularly concerning the relative speed advantage between offensive and defensive swarms. These insights can guide future research by providing a framework for analyzing variations in offensive swarm behavior, defensive targeting strategies, and other swarm characteristics.
Publication Date– June 2024
Refining Counterswarm Tactics contains the following major sections:
- Introduction to Drone Swarms
- Case Study: Prior NPS Research
- Swarm Modeling Methodology
- Results
- Conclusion and Outlook
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