Simulation of counter-UAV tactics against drone swarms: a serious game approach

Gokhan Karadeniz, Ahmet Ozcan, Mehmet Bayram, Gokhan Ince

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increasing use of drone swarms in civil and military applications has led to a rise in research on swarm creation, formation, control, and innovative usage areas. In this study, a simulator was designed and implemented to verify the effectiveness of various tactics against a swarm of attacking drones aimed at disabling a high-voltage power line. We tested four different scenarios with varying degrees of complexity to evaluate the performance of our drone swarm defense strategy. The first scenario involved evenly distributed attacking and defending drones, while in the second scenario, attacking drones concentrated their attack on randomly selected poles. In the third scenario, attacking drones were evenly distributed, and defending drones were launched where they were needed by a drone launcher. The fourth scenario was a combination of the second and third scenarios. The results showed that the success rate of defense varied depending on factors such as drone distribution and the overall defensive response time. This study demonstrates the value of using simulations to test and refine drone swarm tactics and formations in real-world scenarios.

Original languageEnglish
Title of host publicationProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350323023
DOIs
Publication statusPublished - 2023
Event10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 - Istanbul, Turkey
Duration: 7 Jun 20239 Jun 2023

Publication series

NameProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

Conference

Conference10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Country/TerritoryTurkey
CityIstanbul
Period7/06/239/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • defense
  • drone
  • game
  • serious game
  • simulation
  • swarm
  • Unity

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