桂林电子科技大学学报2025，Vol.45Issue(1)：92-104,13.DOI:10.16725/j.1673-808X.202542
无人机群辅助的三维传感器网络连通增强算法
Unmanned aerial vehicle swarm assisted connectivity enhancement algorithm in 3D wireless sensor networks
摘要
Abstract
wireless sensor networks(WSN)deployed in outdoor environments typically operate under harsh conditions and are vul-nerable to network disconnection due to node failures or energy depletion.Therefore,network connectivity is essential for ensuring normal communication between sensor nodes.Considering scenarios where sensor nodes are randomly distributed in three-dimen-sional space,this paper proposed a UAV Swarm assisted connectivity enhancement(USACE)algorithm.The algorithm was intro-duced with an adaptive height optimization(AHO)algorithm,which was designed to enable the UAV swarm to autonomously ad-just its flight altitude based on ground nodes'connectivity requirements,thereby expanding coverage area.An improved firefly algo-rithm(IFA)was employed to plan the initial path for visiting all nodes,followed by an innovative coverage-conscious route opti-mization(CCRO)algorithm that was developed to optimize flight trajectories by eliminating redundant coverage and reducing turns and path intersections.The objective was to minimize UAV swarm energy consumption while maximizing network connectivity time,achieving efficient coverage.The simulation results show that the USACE algorithm significantly outperforms the comparison schemes in both key indicators of path optimization and energy consumption control.At the same time,it demonstrates better stabili-ty and scalability,maintaining an average performance advantage of 19.5%even in a large-scale scenario with 8 unmanned aerial ve-hicles.关键词
无线传感器网络(WSN)/连通增强/无人机编队/路径规划/能耗控制Key words
wireless sensor networks(WSN)/connectivity enhancement/UAV swarm/path planning/energy consumption control分类
信息技术与安全科学引用本文复制引用
姚一平,陈宏滨..无人机群辅助的三维传感器网络连通增强算法[J].桂林电子科技大学学报,2025,45(1):92-104,13.基金项目
国家自然科学基金(62061009) （62061009）
