Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Efficient Task-Resource Matchmaking Technique for Multiple/Heterogeneous Unmanned Combat Systems

다중/이종 무인전투체계를 위한 효율적 과업-자원 할당 기법

  • Young-il Lee (AI & Autonomy Technology Center, Advanced Defense Science & Technology Research Institute, Agency for Defense Development) ;
  • Hee-young Kim (AI & Autonomy Technology Center, Advanced Defense Science & Technology Research Institute, Agency for Defense Development) ;
  • Wonik Park (AI & Autonomy Technology Center, Advanced Defense Science & Technology Research Institute, Agency for Defense Development) ;
  • Chonghui Kim (AI & Autonomy Technology Center, Advanced Defense Science & Technology Research Institute, Agency for Defense Development)
  • 이영일 (국방과학연구소 국방첨단과학기술연구원 인공지능자율센터) ;
  • 김희영 (국방과학연구소 국방첨단과학기술연구원 인공지능자율센터) ;
  • 박원익 (국방과학연구소 국방첨단과학기술연구원 인공지능자율센터) ;
  • 김종희 (국방과학연구소 국방첨단과학기술연구원 인공지능자율센터)
  • Received : 2022.11.17
  • Accepted : 2023.03.31
  • Published : 2023.04.05
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Abstract

In the future battlefield centered on the concept of mosaic warfare, the need for an unmanned combat system will increase to value human life. It is necessary for Multiple/Heterogeneous Unmanned Combat Systems to have suitable mission planning method in order to perform various mission. In this paper, we propose the MTSR model for mission planning of the unmanned combat system, and introduce a method of identifying a task by a combination of services using a request operator and a method of allocating resources to perform a task using the requested service. In order to verify the performance of the proposed task-resource matchmaking algorithm, simulation using occupation scenarios is performed and the results are analyzed.

Keywords

Acknowledgement

이 논문은 2023년 정부의 재원으로 수행된 연구 결과임.

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