基于渗透理论的无人机网络的覆盖性能分析  

Percolation Theory-based Coverage Analysis for UAV Networks

作　　者：王钰宁 刘晓霞[1] 李芳[2] WANG Yuning;LIU Xiaoxia;LI Fang(Department of Information Engineering,Sichuan Water Conservancy Vocational College,Sichuan Chongzhou 611231,China;College of Computer Science,Chongqing University,Chongqing 400044,China)

机构地区：[1]四川水利职业技术学院信息工程系,四川崇州611231 [2]重庆大学计算机学院,重庆400044

出　　处：《弹箭与制导学报》2021年第2期68-71,77,共5页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：国家自然科学基金(61701331);四川省教育厅自然科学基金(18ZB0498);四川省水利厅2017年科研计划(SL2017-01)资助。

摘　　要：维持网络覆盖是无人机网络的基本要求。为此,对无人机网络的覆盖性能进行分析,推导节点密度与实现监测区域的全覆盖间关系。首先估计节点的覆盖区域,进行六边形和正边形近似处理,并利用六边形和正边形网格对监测区域进行网格化处理。然后,结合渗透理论,推导实现监测区域的全覆盖下的单网格内的节点密度,最后通过试验分析得出单网格内的节点密度能够作为估计网络覆盖的有效参数值。A key requirement of an unmanned aerial vehicular(UAV)network(UN)is maintaining and ensuring network coverage.Therefore,coverage of UAV Networks is analyzed in this paper,and relation between node density and total coverage of monitoring area is derived.Firstly,the coverage area of the node is estimated,the hexagon and positive edge are approximated.The monitoring area is meshed with hexagonal and regular-sided grids.Then,based on the penetration theory,the node density in a single grid with full coverage of the monitoring area is deduced.Finally,the importance of the work is deduced through experimental analysis.Experimental analysis shows that the derived node density in a single grid can be used as an effective parameter to estimate network coverage.

关 键 词：无人机网络 渗透理论 网络覆盖 网格 节点密度 

分 类 号：TPT393[自动化与计算机技术] V279[航空宇航科学与技术—飞行器设计]