无人机通信网络非等间距节点负载部署方法  

Load Deployment Method for Unequally Spaced Nodes in UAV Communication Network

作　　者：李静 张英争 郭静 于红斌[2] LI Jing;ZHANG Yingzheng;GUO Jing;YU Hongbin(School of Electronic Information Engineering,Henan Institute of Technology,Xinxiang 453003,China;College of Computer and Information Engineering.Henan Normal University,Xinxiang 453007,China)

机构地区：[1]河南工学院电子信息工程学院,河南新乡453003 [2]河南师范大学计算机与信息工程学院,河南新乡453007

出　　处：《河南工学院学报》2022年第2期17-21,共5页Journal of Henan Institute of Technology

基　　金：河南省科技攻关项目(222102210212);河南省高等学校重点科研项目(20B510002)。

摘　　要：针对无人机通信网络吞吐率和缓存资源利用率较低的问题,提出一种无人机通信网络非等间距节点负载部署方法。优先构建无人机通信系统节能负载的大数据挖掘模型,通过模糊特征检测方法对节点负载特征进行挖掘和优化提取。在无人机通信网络区域内.将K-均值聚类算法和粒子群算法相结合,形成多个初始粒子群.搜索最优分簇.实现无人机通信网络非等间距节点负载部署。仿真实验结果表明,所提方法可以有效增加吞吐率和缓存资源利用率,同时还能够降低通信冲突率和节点负载耗时。Aiming at the low throughput and cache resource utilization of UAV Communication Network,a load deployment method of non-equidistant nodes in UAV Communication Network is proposed.The big data mining model of energy-saving load of UAV Communication system is constructed first,and the node load characteristics are mined and optimized by fuzzy feature detection method.In the area of UAV Communication Network,K-means clustering algorithm and particle swarm optimization algorithm are combined to form multiple initial particle swarm optimization,search the optimal clustering,and realize the load deployment of non-equidistant nodes in UAV Communication Network.Simulation results show that the proposed method can effectively increase the throughput and cache resource utilization,and reduce the communication conflict rate and node load time-consuming.

关 键 词：无人机通信网络 非等间距节点 负载部署 粒子群 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]