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作 者:毛祥 张江林 杨三胜[1] MAO Xiang;ZHANG Jianglin;YANG Sansheng(Wuhan Marine Communication Research Institute,Wuhan 430030)
出 处:《舰船电子工程》2025年第3期77-80,92,共5页Ship Electronic Engineering
摘 要:近年来,无人机技术发展迅猛,因其低成本、快速部署以及强大的机动性的优势使得关于用无人机辅助传感器网络分簇的研究越来越热门。论文提出了一种基于无人机辅助的无线传感器网络分簇协议。在初始状态下采用K-Means算法进行辅助聚类和簇头选举,降低网络的能量开销。然后,综合考虑聚类中每个传感器节点的相对距离和相对剩余能量,并根据其来设置节点被选举成为簇头的优先级,使整个网络中节点的能耗更加均衡。论文所提出的分簇协议延长了节点的死亡时间并降低了节点的能耗,具有较好的性能。In recent years,the rapid progression of UAV technology is attributed to its advantages,which include cost-effec-tiveness,swift deployment capabilities,and high mobility,the research on using UAV to assist sensor network clustering has be-come more and more popular.In this paper,a drone-assisted clustering protocol for wireless sensor networks is proposed.In the ini-tial state,K-Means algorithm is used for auxiliary clustering and cluster head election to reduce the energy cost of the network.Then,the relative distance and relative residual energy of each sensor node in the cluster are considered comprehensively,and the priority of nodes to be elected as cluster heads is set according to them,which ensures a more equitable distribution of energy con-sumption across all nodes within the entire network.The clustering mechanism presented in this study demonstrates the ability to en-hance node longevity and optimize energy utilization,exhibiting superior overall performance.
分 类 号:V279.2[航空宇航科学与技术—飞行器设计]
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