THE PROGRAM FOR ASSESSING THE CONNECTIVITY OF NODES OF WIRELESS EPISODIC NETWORKS UNDER THE CONDITION OF USING UAVS

I.O. Sushin, O. Lysenko, S. Valuiskyi
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Abstract

Background. Based on analytical mathematical models, the duration of connectivity of mobile subscribers (nodes) (MS) of a wireless episodic network (WEN, consisting of MS and UAV) was investigated in conditions of direct radio visibility and considering the relaying. Objective. The purpose of the work is to find methodological approaches to ensure the connectivity of WSN nodes, which is a necessary condition for obtaining information from WSN in the absence of communication infrastructure.Methods. Simulation modelling based on MAPLE 14 software package and analytical calculation methods are used. Results. It is shown that the duration of connectivity is directly proportional to the size of the coverage area and inversely proportional to the movement speed of nodes. The mobility nature (scenario) of nodes also affects the duration of connectivity. The simulation of the nodes' movement was carried out under 4 scenarios: "march", "incoherent", "random wandering in the field" and "random wandering in the city". The largest values of the connectivity duration correspond to the third scenario, and the smallest - to the second (with a fixed radius of the coverage area and the movement speed of nodes). Thus, the average connectivity duration of the UAV-pedestrian connection in the event of an "incoherent" will be about 36 minutes, and the UAV-car connection - about 5 minutes. Conclusions. The system and functional parameters of the networks, which were obtained as a result of the research, will form the basis of the initial data and limitations of the mathematical model, and will also make it possible to determine the initial placement of the UAV network at the planning stage.
用于在使用无人机的条件下评估无线情景网络节点的连通性的程序
背景。基于解析数学模型,研究了无线情景网络(由移动用户(节点)和无人机组成)在无线直接可见和考虑中继的情况下的连接时间。目标。本工作的目的是寻找一种方法方法来保证WSN节点之间的连通性,这是在没有通信基础设施的情况下从WSN获取信息的必要条件。采用了基于MAPLE 14软件包的仿真建模和解析计算方法。结果。结果表明,网络连接的持续时间与网络覆盖面积的大小成正比,与节点的移动速度成反比。节点的移动性(场景)也会影响连接的持续时间。在“行军”、“不连贯”、“野外随机游荡”和“城市随机游荡”4种场景下,对节点的运动进行了模拟。连接持续时间的最大值对应于第三种场景,最小值对应于第二种场景(覆盖区域半径和节点移动速度固定)。因此,在“不连贯”的情况下,无人机-行人连接的平均连接时间约为36分钟,无人机-汽车连接的平均连接时间约为5分钟。结论。作为研究结果获得的网络的系统和功能参数,将构成数学模型的初始数据和限制的基础,并且也将使在规划阶段确定无人机网络的初始位置成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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