Weizhi Ran, Sulemana Nantogma, Shangyan Zhang, Yang Xu
{"title":"Bio-inspired UAV swarm operation approach towards decentralized aerial electronic defense","authors":"Weizhi Ran, Sulemana Nantogma, Shangyan Zhang, 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}
引用次数: 0
Abstract
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.
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.