Journal of System Simulation
Abstract
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.
Recommended Citation
Zhang, Lun; Yang, Mei; Zhao, Tuo; Zhang, Shuiku; and Huang, Jian
(2025)
"Task Reallocation Method for Unmanned Swarm Under Adversarial Conditions,"
Journal of System Simulation: Vol. 37:
Iss.
1, Article 1.
DOI: 10.16182/j.issn1004731x.joss.24-1005
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss1/1
First Page
1
Last Page
12
CLC
TP391.9
Recommended Citation
Zhang Lun, Yang Mei, Zhao Tuo, et al. Task Reallocation Method for Unmanned Swarm Under Adversarial Conditions[J]. Journal of System Simulation, 2025, 37(1): 1-12.
DOI
10.16182/j.issn1004731x.joss.24-1005
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