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An Energy-Efficient Routing Void Repair Method Based on an Autonomous Underwater Vehicle for UWSNs

机译:基于自动水下车辆的UWSNS的节能路由空隙修复方法

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摘要

Aiming at the problem of routing voids in underwater sensor networks (UWSNs) routing, we propose an energy-efficient routing void repair method (this method is called (EERVRM) based on autonomous underwater vehicle (AUV) for UWSNs. First, we identify void nodes and trap nodes through a void detection mechanism, which allows EERVRM to discover the routing void before data transmission. Then, an AUV designs the trajectory of each round according to the location of the routing voids and collects data directly from the nodes near the trajectory. The nodes that are farther from the AUV transmit data through an opportunistic routing strategy so that EERVRM can adapt to the dynamic changes in the network and repair the network void. Simulation results show that EERVRM can effectively solve routing void problems, ensure a stable transmission rate. Compared with VAPR and GEDAR, as the number of nodes increases, the average end-to-end delay of EERVRM decreased by 0.29 and 0.13, and the packet delivery ratio (PDR) increased by 0.25 and 0.1, respectively.
机译:针对水下传感器网络(UWSNS)路由中的空隙的问题,我们提出了一种节能路由无效维修方法(该方法被称为UWSNS的自动水下车辆(AUV)。首先,我们识别空白节点和陷阱节点通过void检测机制,允许evrrm在数据传输之前发现路由缺点。然后,AUV根据路由空隙的位置设计每轮的轨迹,并直接从轨迹附近的节点收集数据。从AUV的节点通过机会的路由策略传输数据,使得ERVRM可以适应网络中的动态变化并修复网络空隙。仿真结果表明,ERVRM可以有效解决路由空隙问题,确保稳定的传输速率。与VAPR和GEDAR相比,随着节点数量的增加,ERVRM的平均端到端延迟减少了0.29和0.13,以及包DE制服比(PDR)分别增加0.25和0.1。

著录项

  • 来源
    《Sensors Journal, IEEE》 |2021年第4期|5502-5511|共10页
  • 作者单位

    School of Computer and Information Engineering Tianjin Chengjian University Tianjin China;

    School of Electronics Engineering Shanxi Aviation Professional Technical Institute Shanxi China;

    Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John’s Canada;

    School of Control and Mechanical Engineering Tianjin Chengjian University Tianjin China;

    School of Computer and Information Engineering Tianjin Chengjian University Tianjin China;

    School of Computer Science and Technology Qinghai Normal University Qinghai China;

    Tianjin Keyvia Electric Company Ltd. Tianjin China;

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

    Routing; Sonar; Energy consumption; Data communication; Trajectory; Monitoring; Sensors;

    机译:路由;声纳;能量消耗;数据通信;轨迹;监测;传感器;

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