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A cost-efficient elastic UAV relay network construction method with guaranteed QoS

机译:一种具有成本效益的弹性UAV继电器网络施工方法,具有保证QoS

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摘要

Recently, Unmanned Aerial Vehicle (UAVs) have been widely adopted to collect data in dangerous or inaccessible areas due to their unique characteristics, including on-demand deployment, flexibility, low-cost, and mobility. However, limited power supply severely restricts the transmission range of a UAV, thus the sensed data needs to be transmitted to the ground control station (GCS) with the help of multiple UAVs in a multi-hop manner. This paper firstly describes the general process of the UAV relay network deployment, and analyzes the number of relay UAVs needed by two types of straightforward static model, i.e. track-based dynamic routing model with planned path and the infrastructure-based dynamic routing model with uncertain path. Deploying the relay UAVs in a static way as current works do cannot fulfill the requirements for an ideal UAV relay network, such as high reliability, low-cost and guaranteed quality of service. Thus, we detail our prediction-based dynamic relay network deployment model, and prove that our proposal is feasible and requires less number of relay UAVs while providing higher communication quality compared with state-of-the-art methods. Based on this model, an Elastic Relay Network Construction (ERNetC) algorithm is proposed. Finally, a series of simulation experiments are conducted on OMNeT++ simulation platform to evaluate the performance of ERNetC algorithm. Simulation results show that ERNetC algorithm outperforms existing algorithms in total interruption time as well as goodput. (c) 2020 The Authors. Published by Elsevier B.V.
机译:最近,由于其独特的特征,无人驾驶航空公司(无人机)已被广泛采用以收集危险或无法进入的地区的数据,包括按需部署,灵活性,低成本和移动性。然而,有限的电源严重限制了UAV的传输范围,因此感测的数据需要以多跳的方式在多个无人机的帮助下传输到地面控制站(GCS)。本文首先介绍了UAV中继网络部署的一般过程,并分析了两种类型的直接静态模型所需的继电器UAV,即具有计划路径的基于跟踪的动态路由模型以及不确定的基于基于基于基于基于基于基于基于基于基于基于基于基于的动态路由模型。小路。以静态方式部署继电器无人机,因为当前的工作确实无法满足理想的UAV继电器网络的要求,例如高可靠性,低成本和保证的服务质量。因此,我们详细阅读了基于预测的动态继电器网络部署模型,并证明我们的提议是可行的,并且在与最先进的方法相比提供更高的通信质量的同时需要较少数量的继电器无人机。基于该模型,提出了弹性继电器网络结构(ERNETC)算法。最后,在OMNET ++仿真平台上进行了一系列仿真实验,以评估ERNETC算法的性能。仿真结果表明,ERNETC算法优于总中断时间的现有算法以及良品。 (c)2020作者。由elsevier b.v出版。

著录项

  • 来源
    《Ad hoc networks》 |2020年第10期|102219.1-102219.9|共9页
  • 作者单位

    Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China;

    Natl Univ Def Technol Res Inst 63 Nanjing 210007 Peoples R China;

    Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China|Collaborat Innovat Ctr Novel Software Technol & I Nanjing 210007 Peoples R China;

    Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Unmanned aerial vehicle; Relay; Wireless network; Mobility control;

    机译:无人驾驶飞行器;继电器;无线网络;移动控制;

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