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首页> 外文期刊>Internet of Things Journal, IEEE >Joint Mission Assignment and Topology Management in the Mission-Critical FANET
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Joint Mission Assignment and Topology Management in the Mission-Critical FANET

机译:关键任务关键粉丝中的联合任务任务和拓扑管理

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摘要

In recent years, the emergence of flying ad hoc networks (FANETs) with multiple unmanned aerial vehicles (UAVs) has made it possible to effectively perform not only the far-off missions but also assorted complex missions. In this article, we consider a mission-critical FANET to perform given missions using multiple UAVs, taking into account a dynamic environment with a time-varying network topology. To effectively operate the mission-critical FANET, we study the joint mission assignment and topology management problem aiming at maximizing the weighted sum of mission and network performances, while guaranteeing end-to-end communications between mission-performing UAVs and their corresponding ground control stations, inter-UAV safety distance maintenance, and other mission-related constraints. To address this problem, we first develop three algorithms: one is to construct a mission-critical FANET from scratch, and the others are to manage the network topology and to switch UAV roles between mission performing and data relaying in response to the changes in the network topology. Then, we develop a dynamic mission-critical FANET operation algorithm incorporating the three algorithms with a few rules, by which the mission-critical FANET can be effectively managed and operated with reasonable computational complexity in the dynamic environment. Through simulation results, we show that our proposed algorithm works well in the dynamic environment while satisfying the constraints, and that its performance is not only superior to the existing algorithms but also close to the optimal performance.
机译:近年来,飞行临时网络(FANET)与多个无人驾驶航空公司(无人机)的出现使得不仅可以有效地执行偏远的任务,而且可以有效地表现出各种各样的复杂任务。在本文中,我们考虑使用多个UVS执行给定任务的关键任务粉丝,考虑到具有时变网络拓扑的动态环境。为了有效地运营关键任务粉丝,我们研究了联合特派团分配和拓扑管理问题,旨在最大限度地提高任务和网络表演的加权和,同时保证任务执行无人机和相应地面控制站之间的端到端通信,无人机间安全距离维护以及其他与任务相关的约束。为了解决这个问题,我们首先开发三种算法:一个是从头开始构建一个关键任务粉丝,而其他阵容是管理网络拓扑,并在任务执行和数据中继之间切换UAV角色以响应变化网络拓扑结构。然后,我们开发一种具有少数规则的动态任务 - 关键粉丝操作算法,其中包含一些规则,通过该规则可以在动态环境中以合理的计算复杂性有效地管理和操作任务临界迷机。通过仿真结果,我们表明我们所提出的算法在充满活力环境中运行良好,同时满足约束,并且其性能不仅优于现有的算法,而且靠近最佳性能。

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