基于蜂群无人机的无线通信系统的形成

S. Kravchuk, L. Afanasieva
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引用次数: 2

摘要

背景。目前,移动系统技术的一个新方向正在迅速发展,与使用一组/组移动多功能元素相关,这些元素可以为各种应用创建不同的空间分布结构:从娱乐节目到智能网络。这是一种小型无人驾驶飞行器(UAV)的技术,通常被称为无人机,以及它们在建设电信系统领域的应用。目标。本研究的目的是发展基于无人机群的异构无线通信系统的基本原理和策略。方法。我们研究了构建无线网络的结构和功能方法。结果。提出了集中式和分布式搭建无人机群无线控制网络的场景,并对分布式场景下的集群节点功能复杂性进行了评估。提出了一种用于通信业务的无人机群生命周期的分阶段实现方案。提出了集群节点空间自组织的“分子”场景,可采用“链”和“闪”方法实现。提出了群管理策略的构建:有Leader的集中和分散管理策略、有信息共享的集体自我管理策略、有预测的分散管理策略、无信息共享的自组织策略。结论。研究了基于无人机群的异构无线通信系统形成的基本原理和策略。提出了一种无人机群的集体管理策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FORMATION OF A WIRELESS COMMUNICATION SYSTEM BASED ON A SWARM OF UNMANNED AERIAL VEHICLES
Background. Currently, a new direction in the technology of mobile systems is rapidly developing, associated with the use of a set / group of mobile multifunctional elements that can create different spatially-distributed structures for various applications: from entertainment shows to intelligence networks. This is a technique of small unmanned aerial vehicles (UAV), often called drones, and their use in the field of building telecommunication systems. Objective. The aim of the work is to develop the basic principles and strategies for the formation of a heterogeneous wireless communication system based on a swarm of unmanned aerial vehicles. Methods. We study the structural and functional methods of building a wireless network. Results. Scenarios of centralized and distributed building of a wireless network of control of a swarm of UAVs are presented, assessment of the complexity of the functionality of swarm nodes in the case of a distributed scenario is carried out. A scheme of phased implementation of the life cycle of a UAV swarm for communication services has been developed. The “molecular” scenario of spatial self-organization of the swarm-nodes of the swarm is presented, which can be implemented using the “chain” and “flash” procedures. The proposed construction of some strategies for managing the swarm: centralized and decentralized with the Leader, collective self-management with information sharing, decentralized management with forecasting, self-organization without information sharing. Conclusions. The basic principles and strategies for the formation of a heterogeneous wireless communication system based on a swarm of unmanned aerial vehicles have been developed. A collective management strategy for a swarm of drones was developed.
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