计算机应用研究2024，Vol.41Issue(1)：248-253,6.DOI:10.19734/j.issn.1001-3695.2023.05.0204
无人机自组网快速稳定加权分簇算法
Fast and stable weighted clustering algorithm for unmanned aerial vehicle Ad hoc network
摘要
Abstract
In unmanned aerial vehicle Ad hoc network(UANET),increasing the network size will increase the average number of hops between nodes,making network management and routing protocol operation more difficult.Clustering structure can be used to optimize network management and improve network scalability.This paper proposed a fast and stable weighted cluste-ring algorithm to address the instability and poor robustness of cluster structures caused by the high mobility of drones.Com-pared with existing weighted clustering algorithms,this algorithm improved the selection of four indicators:link retention rate,node degree and relative speed.It proposed an efficient cluster maintenance mechanism to address the cluster oscillation caused by cluster head node disconnection in battlefield and emergency scenarios.Finally,it verified the performance of this algorithm through simulation.The results show that compared with existing improved weighted clustering algorithms,this algorithm can ef-fectively reduce clustering time,and quickly recover in the event of cluster head nodes dropping,making it more suitable for network deployment in complex environments.关键词
无人机自组网/加权分簇算法/鲁棒性/节点度Key words
UANET/weighted clustering algorithm/robustness/node degree分类
信息技术与安全科学引用本文复制引用
郭建,任智,邱金,陈春宇,姚毅..无人机自组网快速稳定加权分簇算法[J].计算机应用研究,2024,41(1):248-253,6.基金项目
国家自然科学基金资助项目(61971080) （61971080）
