Coverage Estimation in Floorplan Visual Sensor Networks

A. Attar, M. Izadi, Maedeh Movahedian, Shantia Yarahmadian
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Abstract

The issue of Coverage in visual sensor networks (VSNs) has attracted considerable attention due to sensors unique directional sensing characteristic. It answers the question that how well the target field is monitored by a network of sensors with video/image capturing capability. In floor plan scenario the network is to monitor a plane parallel to the sensors' deployment plane. Coverage probability estimation based on both the sensors and the network related parameters is a fundamental issue in this field. For a large scale application in which the sensors' deployment is done by dropping sensors from an airplane, random sensors' placement and orientation according to their respective distribution is a practical assumption. Although some studies exist on the coverage problem of floor plan VSNs, none of them has derived a closed form solution for the coverage estimation, which is the main contribution of this paper. The Simulation results validated the proposed mathematical.
平面视觉传感器网络的覆盖估计
由于传感器独特的方向感知特性,覆盖问题在视觉传感器网络中引起了广泛的关注。它回答了一个具有视频/图像捕获能力的传感器网络如何很好地监控目标领域的问题。平面图场景下,网络监控平面与传感器部署平面平行。基于传感器和网络相关参数的覆盖概率估计是该领域的基础问题。在大规模应用中,传感器的部署是通过从飞机上扔下传感器来完成的,根据传感器各自的分布随机放置和定向是一个可行的假设。虽然已有一些关于平面vsn覆盖问题的研究,但都没有推导出覆盖估算的封闭形式解,这是本文的主要贡献。仿真结果验证了所提出的数学方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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