航空科学技术2025，Vol.36Issue(12)：24-35,12.DOI:10.19452/j.issn1007-5453.2025.12.004
面向无人机自组网的动态分簇和多节点中继选择方法
Dynamic Clustering and MPR Selection Method for UAV Ad-Hoc Networks
摘要
Abstract
In multi-UAV systems,the rapidly changing and self-organizing communication environment poses substantial challenges to network stability and performance.This makes it necessary to design collaboration strategies that can sense topology changes and provide efficient relay mechanisms,thereby improving communication reliability and coordination efficiency.In UAV Ad-Hoc networks,the high mobility of nodes will reduce the stability of the cluster,and the performance of traditional routing protocols applied to the UAV Ad-Hoc networks is low.To solve these problems,this paper proposed a weighted clustering algorithm based on similarity,residual energy and connectivity(SEC-WCA),and a MultiPoint Relay(MPR)selection algorithm based on the quantum ant colony.Firstly,an SEC-WCA algorithm is used to select cluster heads.In this process,multiple factors such as residual energy of nodes,adaptive connectivity,local mobility similarity,local structural similarity,node exit frequency and node ID are fully considered,and cluster heads are selected by calculating the comprehensive weight of nodes.Then the quantum ant colony algorithm is used to optimize the MPR set,and the comprehensive weighted fitness function of MPR nodes is designed combining the number of MPR nodes,delay,residual energy and node change rate.Finally,quantum logic gate is used to update pheromone to improve the performance of OLSR protocol.The simulation results show that the SEC-WCA clustering algorithm and MPR selection algorithm proposed in this paper overcome the lack of integrity of the existing technology,can not only enhance the stability of the clustering structure,but also reduce the end-to-end delay and improve the network throughput.关键词
无人机自组网/OLSR协议/MPR/分簇算法Key words
UAV network/OLSR protocol/MPR/clustering algorithm分类
航空航天引用本文复制引用
刘明骞,蔡婉珀,石子慧..面向无人机自组网的动态分簇和多节点中继选择方法[J].航空科学技术,2025,36(12):24-35,12.基金项目
航空科学基金(2020Z073081001) Aeronautical Science Foundation of China(2020Z073081001) （2020Z073081001）
