Poster abstract: Connected wireless camera network deployment with visibility coverage

Hua Huang, Chien-Chun Ni, Xiaomeng Ban, Jie Gao, Shan Lin
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引用次数: 2

Abstract

First responder applications often require safety surveillance using wireless camera networks [1]. To ensure visual sensing coverage, it is crucial to place optical sensor nodes at proper locations. Under the scenario of energy constrained wireless camera deployment, the issue of communication cost should also be considered. Previous camera deployment research (e.g Art Gallery Problem) mainly concerned sensing coverage. One well-known solution for the art gallery problem is to triangulate the objective polygon and then select vertices to ensure full coverage. However, deploying cameras only in the vertices of polygon may induce inefficiency both in number of necessary cameras and overall communication cost. To reduce the cost, we propose two deployment algorithms: 1) connected visibility region planning algorithm for static deployment given the floor plan is known, and 2) connected visibility region tracking algorithm for the dynamic deployment during the run time. In extensive simulations with real floor plans, our algorithms outperform previous solutions significantly.
海报摘要:联网无线摄像机网络部署与可见性覆盖
第一响应者应用通常需要使用无线摄像机网络进行安全监控[1]。为了保证视觉感知覆盖,将光传感器节点放置在合适的位置是至关重要的。在能量受限的无线摄像机部署场景下,还需要考虑通信成本问题。以往的相机部署研究(如美术馆问题)主要关注感测覆盖。一个著名的解决美术馆问题的方法是对目标多边形进行三角测量,然后选择顶点以确保全覆盖。然而,仅在多边形的顶点部署摄像机可能会导致所需摄像机数量和总体通信成本的低效率。为了降低成本,我们提出了两种部署算法:1)已知平面的静态部署的连通可见区域规划算法;2)运行时动态部署的连通可见区域跟踪算法。在实际平面图的大量模拟中,我们的算法明显优于以前的解决方案。
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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