国防科技大学学报2026，Vol.48Issue(4)：97-106,10.DOI:10.11887/j.issn.1001-2486.25010010
面向无人机自组网的多信道自适应节点度差分簇算法
Multi-channel clustering algorithm with adaptive node degree difference for UAV ad hoc networks
摘要
Abstract
To address the difficulties of UAV(unmanned aerial vehicle)nodes in networking on the same channel due to differences in available channels,especially under conditions of intense spectrum competition or dynamic electromagnetic environments,a multi-channel UAV ad hoc networks clustering algorithm based on adaptive node degree difference was proposed.Implemented a hierarchical clustering approach optimized for modularity,the algorithm calculated node similarity by including adaptive node degree difference under multi-channel conditions.The network modularity function was maximized to cluster large-scale UAV nodes,and network throughput was analyzed using the Bianchi model.Simulation results demonstrate that the proposed algorithm not only achieves a more balanced topology but efficiently increases network throughput compared to the Fast Unfolding,JS_CNC,and HVC_MCNC algorithms.关键词
大规模网络/多信道/无人机自组网/分簇算法/自适应节点度差Key words
large-scale networks/multi-channel/unmanned aerial vehicle ad hoc networks/clustering algorithm/adaptive node degree difference分类
信息技术与安全科学引用本文复制引用
张力丹,王海军,张姣,马东堂,周力,魏急波..面向无人机自组网的多信道自适应节点度差分簇算法[J].国防科技大学学报,2026,48(4):97-106,10.基金项目
国家自然科学基金资助项目(62371462,61372099) （62371462,61372099）
博士后创新人才支持计划资助项目(BX20240493) （BX20240493）
