面向分散空中电子防御的仿生无人机群作战方法

IF 7.2 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Weizhi Ran, Sulemana Nantogma, Shangyan Zhang, Yang Xu
{"title":"面向分散空中电子防御的仿生无人机群作战方法","authors":"Weizhi Ran,&nbsp;Sulemana Nantogma,&nbsp;Shangyan Zhang,&nbsp;Yang Xu","doi":"10.1016/j.asoc.2025.113136","DOIUrl":null,"url":null,"abstract":"<div><div>The protection of critical assets and infrastructure from aerial attacks by adversaries is critical to national defense strategy. In this regard, autonomous aerial electronic defense with UAV swarm have the potential to distribute tasks and coordinate their operations to provide electronic countermeasures as an extra layer of defense. However, the challenge of decentralized coordination design of the swarm is a key bottleneck in UAV swarm electronic defense operations. This paper puts forward a decentralized honey bees-inspired multi-agent-based coordination design approach for UAV swarm in aerial electronic defense. The approach abstracts the coordination and planning of each UAV in the swarm as groups of agents with a hybrid hierarchical organization. Next, based on the behavior and operations of honey bees, a task planning model for coordination of the swarm is presented. Simulation results based on interception success rate, proportion of UAV working times, and interception path lengths show the proposed approach is capable of abstracting the swarm coordination problem and achieving a generally optimized aerial electronic defense. This approach shows promising results in designing a decentralized, responsive, and lightweight UAV swarm system capable of providing electronic countermeasures.</div></div>","PeriodicalId":50737,"journal":{"name":"Applied Soft Computing","volume":"177 ","pages":"Article 113136"},"PeriodicalIF":7.2000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bio-inspired UAV swarm operation approach towards decentralized aerial electronic defense\",\"authors\":\"Weizhi Ran,&nbsp;Sulemana Nantogma,&nbsp;Shangyan Zhang,&nbsp;Yang Xu\",\"doi\":\"10.1016/j.asoc.2025.113136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The protection of critical assets and infrastructure from aerial attacks by adversaries is critical to national defense strategy. In this regard, autonomous aerial electronic defense with UAV swarm have the potential to distribute tasks and coordinate their operations to provide electronic countermeasures as an extra layer of defense. However, the challenge of decentralized coordination design of the swarm is a key bottleneck in UAV swarm electronic defense operations. This paper puts forward a decentralized honey bees-inspired multi-agent-based coordination design approach for UAV swarm in aerial electronic defense. The approach abstracts the coordination and planning of each UAV in the swarm as groups of agents with a hybrid hierarchical organization. Next, based on the behavior and operations of honey bees, a task planning model for coordination of the swarm is presented. Simulation results based on interception success rate, proportion of UAV working times, and interception path lengths show the proposed approach is capable of abstracting the swarm coordination problem and achieving a generally optimized aerial electronic defense. This approach shows promising results in designing a decentralized, responsive, and lightweight UAV swarm system capable of providing electronic countermeasures.</div></div>\",\"PeriodicalId\":50737,\"journal\":{\"name\":\"Applied Soft Computing\",\"volume\":\"177 \",\"pages\":\"Article 113136\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Soft Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1568494625004478\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Soft Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1568494625004478","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

保护关键资产和基础设施免受对手的空中攻击对国防战略至关重要。在这方面,具有无人机群的自主空中电子防御具有分配任务和协调其操作的潜力,以提供电子对抗作为额外的防御层。然而,群的分散协调设计难题是无人机群电子防御作战的关键瓶颈。提出了一种受分散蜜蜂启发的基于多智能体的空中电子防御无人机群协调设计方法。该方法将群中每个无人机的协调和规划抽象为具有混合层次组织的agent组。其次,基于蜜蜂的行为和操作,提出了蜂群协调的任务规划模型。基于拦截成功率、无人机工作时间比例和拦截路径长度的仿真结果表明,该方法能够抽象出群体协调问题,实现总体优化的空中电子防御。这种方法在设计一种分散的、反应灵敏的、轻量级的无人机群系统能够提供电子对抗方面显示出有希望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-inspired UAV swarm operation approach towards decentralized aerial electronic defense
The protection of critical assets and infrastructure from aerial attacks by adversaries is critical to national defense strategy. In this regard, autonomous aerial electronic defense with UAV swarm have the potential to distribute tasks and coordinate their operations to provide electronic countermeasures as an extra layer of defense. However, the challenge of decentralized coordination design of the swarm is a key bottleneck in UAV swarm electronic defense operations. This paper puts forward a decentralized honey bees-inspired multi-agent-based coordination design approach for UAV swarm in aerial electronic defense. The approach abstracts the coordination and planning of each UAV in the swarm as groups of agents with a hybrid hierarchical organization. Next, based on the behavior and operations of honey bees, a task planning model for coordination of the swarm is presented. Simulation results based on interception success rate, proportion of UAV working times, and interception path lengths show the proposed approach is capable of abstracting the swarm coordination problem and achieving a generally optimized aerial electronic defense. This approach shows promising results in designing a decentralized, responsive, and lightweight UAV swarm system capable of providing electronic countermeasures.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Applied Soft Computing
Applied Soft Computing 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
6.90%
发文量
874
审稿时长
10.9 months
期刊介绍: Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities. Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信