Journal of System Simulation ›› 2025, Vol. 37 ›› Issue (1): 1-12.doi: 10.16182/j.issn1004731x.joss.24-1005

• Special Column:Modeling,Simulation and Application for Intelligent Unmanned System •    

Task Reallocation Method for Unmanned Swarm Under Adversarial Conditions

Zhang Lun1, Yang Mei1, Zhao Tuo2, Zhang Shuiku1, Huang Jian1   

  1. 1.College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
    2.PLA 63867 Troops, Baicheng 137000, China
  • Received:2024-09-08 Revised:2024-12-12 Online:2025-01-20 Published:2025-01-23
  • Contact: Yang Mei

Abstract:

Heterogeneous unmanned swarms have important potential applications in future wars. However, during the high-intensity confrontation in the battlefield, how to efficiently and quickly redistribute the tasks carried by the damaged agents so that the swarms could successfully complete the mission is a difficult problem that must be addressed in the combat application of unmanned swarms. This paper proposes a task reallocation method named improved CNP-HA (contract net protocol-Hungarian algorithm). Through the allocation mechanism and the bidding mechanism, the method realizes the task reallocation of damaged agents with lower communication cost and faster speed comparing with baseline methods. In the simulation experiment, when a single agent is damaged, the average completion rate of target reallocation is increased from 87% to 100% by the proposed method, and the target reallocation can still be completed stably when multiple agents are damaged, and the resource scheduling rate and rapidity of the proposed method are better than the comparison algorithms.

Key words: adversarial conditions, agent damage, unmanned swarm, task allocation, reallocation

CLC Number: