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E~2DTS: An energy efficiency distributed time synchronization algorithm for underwater acoustic mobile sensor networks

机译:E〜2DTS:水下声移动传感器网络的能效分布式时间同步算法

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摘要

Time synchronization plays an important role in wireless sensor network applications and energy conservation. In this paper, we focus on the need of time synchronization in underwater acoustic mobile sensor networks (UAMSNs). Several time synchronization algorithms have been carried out in this issue. But most of them are proposed for RF-based wireless sensor networks, which assume that the propagation delay is negligible. In UAMSNs, the assumption about rapid communication is incorrect because the communication is primarily via acoustic channel, so the propagation speed is much slower than RF. Furthermore, the propagation delay in underwater environment is time-varying due to the nodes' mobility. We present an energy efficiency distributed time synchronization algorithm (called "E~2DTS") for those underwater acoustic node mobility networks. In E~2DTS, both clock skew and offset are estimated. We investigate the relationship between time-varying propagation delay and nodes mobility, and then estimate the clock skew. At last skew-corrected nodes send local timestamp to beacon node to estimate its clock offset. Through analysis and simulation, we show that it achieves high level time synchronization precision with minimal energy cost.
机译:时间同步在无线传感器网络应用和节能中起着重要作用。在本文中,我们专注于水下声学移动传感器网络(UAMSN)中时间同步的需求。在本期中已经执行了几种时间同步算法。但是大多数建议是针对基于RF的无线传感器网络提出的,它们假定传播延迟可以忽略不计。在UAMSN中,关于快速通信的假设是不正确的,因为通信主要是通过声学信道进行的,因此传播速度比RF慢得多。此外,由于节点的移动性,水下环境中的传播延迟是随时间变化的。我们为那些水下声节点移动网络提出了一种能量效率分布式时间同步算法(称为“ E〜2DTS”)。在E〜2DTS中,时钟偏斜和偏移都被估计。我们研究时变传播延迟与节点移动性之间的关系,然后估计时钟偏斜。最后,经过偏斜校正的节点将本地时间戳发送到信标节点,以估计其时钟偏移。通过分析和仿真,我们表明它以最小的能源成本实现了高水平的时间同步精度。

著录项

  • 来源
    《Ad hoc networks》 |2013年第4期|1372-1380|共9页
  • 作者单位

    Department of Computer Science, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;

    Department of Computer Science, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;

    Department of Computer Science, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;

    Department of Computer Science, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;

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

    underwater acoustic mobile sensor networks; time synchronization; linear regression;

    机译:水下声学移动传感器网络;时间同步;线性回归;

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