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Design of Underwater Mobile Sensor Networks for Real-time Aquatic Applications.

机译:实时水上应用的水下移动传感器网络设计。

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摘要

Underwater sensor networking is generally regarded as an emerging technology to conduct oceanic exploration and research in an automated and effective manner. As underwater operations become more sophisticated, there is an increasing demand for real-time aquatic applications such as real-time video streaming. However, real-time video streaming requires high bandwidth as well as low latency. Amongst the resources, bandwidth is the most critical limitation. To help overcome this obstacle, we first propose an innovative MAC protocol called Multi-session FAMA (M-FAMA). M-FAMA leverages passively-acquired local information (i.e., neighboring nodes' propagation delay maps and expected transmission schedules) to launch multiple simultaneous sessions. M-FAMA's greedy behavior is controlled by a Bandwidth Balancing algorithm that guarantees max-min fairness across multiple contending sources. In addition to this, we propose a hybrid solution that combines acoustic and optical communications. Optics provides good quality real-time video. Acoustic maintains a "thin" channel for network topology and transmission control, and for still frame video delivery when the optical channel fails. In particular, we enable optical communications by acoustic-assisted alignment and use acoustic communications as a back up when the optical signal is interrupted. The main contribution is to enable reliable, real-time video streaming without underwater optical cables. Another important contribution is the smooth transition between the acoustic and optical video delivery mode, using popular image processing algorithms to compress the video before transmitting it on the acoustic channel.
机译:水下传感器网络通常被认为是一种以自动化和有效方式进行海洋探索和研究的新兴技术。随着水下操作变得越来越复杂,对实时水生应用(例如实时视频流)的需求不断增长。但是,实时视频流需要高带宽和低延迟。在资源中,带宽是最关键的限制。为了帮助克服这一障碍,我们首先提出了一种创新的MAC协议,称为多会话FAMA(M-FAMA)。 M-FAMA利用被动获取的本地信息(即相邻节点的传播延迟图和预期的传输时间表)来启动多个同时会话。 M-FAMA的贪婪行为是由带宽平衡算法控制的,该算法可确保多个竞争源之间的最大最小公平。除此之外,我们提出了一种混合解决方案,将声音和光学通信结合在一起。光学器件可提供高质量的实时视频。当光通道发生故障时,Acoustic会为网络拓扑和传输控制以及静态帧视频传递维护一个“瘦”通道。特别是,我们通过声学辅助对准启用光学通信,并在光学信号中断时将声学通信用作备份。主要贡献在于无需水下光缆即可实现可靠的实时视频流传输。另一个重要的贡献是声学和光学视频传输模式之间的平滑过渡,使用流行的图像处理算法压缩视频,然后再在声学通道上传输视频。

著录项

  • 作者

    Han, Seongwon.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 111 p.
  • 总页数 111
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:54:05

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