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Efficient camera selection for maximized target coverage in underwater acoustic sensor networks.

机译:高效的摄像机选择,可在水下声传感器网络中最大化目标覆盖范围。

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摘要

In Underwater Acoustic Sensor Networks (UWASNs), cameras have recently been deployed for enhanced monitoring. However, their use has faced several obstacles. Since video capturing and processing consume significant amounts of camera battery power, they are kept in sleep mode and activated only when ultrasonic sensors detect a target. The present study proposes a camera relocation structure in UWASNs to maximize the coverage of detected targets with the least possible vertical camera movement. This approach determines the coverage of each acoustic sensor in advance by getting the most applicable cameras in terms of orientation and frustum of camera in 3-D that are covered by such sensors. Whenever a target is exposed, this information is then used and shared with other sensors that detected the same target. Compared to a flooding-based approach, experiment results indicate that this proposed solution can quickly capture the detected targets with the least camera movement.
机译:在水下声传感器网络(UWASN)中,最近已部署了摄像头以增强监视能力。然而,它们的使用面临几个障碍。由于视频捕获和处理会消耗大量的相机电池电量,因此它们保持在睡眠模式,仅在超声传感器检测到目标时才激活。本研究提出了UWASN中的摄像机重定位结构,以最大程度地减少垂直摄像机移动来最大程度地检测目标。这种方法通过获取最合适的摄像头的方向和视锥在3D摄像头中所覆盖的范围来预先确定每个声学传感器的覆盖范围。每当暴露目标时,该信息便会被使用并与检测到同一目标的其他传感器共享。与基于泛洪的方法相比,实验结果表明,该建议的解决方案可以以最少的摄像机运动来快速捕获检测到的目标。

著录项

  • 作者

    Albuali, Abdullah.;

  • 作者单位

    Southern Illinois University at Carbondale.;

  • 授予单位 Southern Illinois University at Carbondale.;
  • 学科 Computer science.
  • 学位 M.S.
  • 年度 2014
  • 页码 59 p.
  • 总页数 59
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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