research-article

Research on Collaborative and Confrontation of UAV Swarms Based on SAC-OD Rules

Authors:

Shuyi ZhangAuthors Info & Claims

IMMS '21: Proceedings of the 4th International Conference on Information Management and Management Science

Pages 273 - 278

https://doi.org/10.1145/3485190.3485232

Published: 02 December 2021 Publication History

Abstract

With the introduction of the new generation of artificial intelligence technology into the military field, unmanned aerial vehicle (UAV) swarm operation, as an important form of intelligent operation, has attracted the attention of various countries. In this paper, we consider the problem of coordinated confrontation between UAV swarms in the plane area. An improved “SAC-OD” rules and combat strategy of UAV swarm are employed to establish the decision-making model for UAV swarm conflict where each UAV in the swarm is regarded as an independent individual. With the introduction of SAC-OD, each UAV keeps on interacting with its neighboring environment and the UAV swarm conflict is dynamic. Simulation experiments are conducted using MATLAB and the results demonstrate the effectiveness of the built decision-making model for UAV swarm conflict.

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Cited By

Fu XQiao ZXu Z(2024)Attack–defense strategy of UAV swarm based on DEP-SIQ in the active target defense scenarioSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-024-09826-528:17-18(10463-10473)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s00500-024-09826-5
Duan TWang WWang T(2022)A Review for Unmanned Swarm Gaming: Framework, Model and Algorithm2022 8th International Conference on Big Data and Information Analytics (BigDIA)10.1109/BigDIA56350.2022.9874133(164-170)Online publication date: 24-Aug-2022
https://doi.org/10.1109/BigDIA56350.2022.9874133

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Research on Collaborative and Confrontation of UAV Swarms Based on SAC-OD Rules

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IMMS '21: Proceedings of the 4th International Conference on Information Management and Management Science

August 2021

332 pages

ISBN:9781450384278

DOI:10.1145/3485190

Copyright © 2021 ACM.

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Published: 02 December 2021

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IMMS 2021

IMMS 2021: 2021 4th International Conference on Information Management and Management Science

August 27 - 29, 2021

Chengdu, China

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Cited By

Fu XQiao ZXu Z(2024)Attack–defense strategy of UAV swarm based on DEP-SIQ in the active target defense scenarioSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-024-09826-528:17-18(10463-10473)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s00500-024-09826-5
Duan TWang WWang T(2022)A Review for Unmanned Swarm Gaming: Framework, Model and Algorithm2022 8th International Conference on Big Data and Information Analytics (BigDIA)10.1109/BigDIA56350.2022.9874133(164-170)Online publication date: 24-Aug-2022
https://doi.org/10.1109/BigDIA56350.2022.9874133

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