传感器领域的局部边缘检测

Krishna Chintalapudi, R. Govindan
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引用次数: 200

摘要

研究相对广泛的现象(如污染物流动或地震扰动)的无线传感器网络可能被要求提供现象边界的描述(轮廓或某些边界框)。在这种情况下,每个节点可能需要在本地确定它是否位于(或接近)现象的边缘。在本文中,我们证明了这种局部边缘检测技术对于在任意部署的传感器网络中设计是非常重要的。我们定义了边缘的概念,并开发了评估局部边缘检测算法的性能指标。我们提出了三种不同的局部边缘检测方法,并给出了每种方法的一个示例方案。在我们所有的方法中,每个传感器从其局部邻域收集信息,并确定它是否是边缘传感器。我们评估业绩!每个示例方案,并将它们与已开发的指标进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Localized edge detection in sensor fields
A wireless sensor network that studies relatively widespread phenomena (such as a contaminant flow or a seismic disturbance) may be called upon to provide a description of the boundary of the phenomenon (either a contour or some bounding box). In such cases, it may be necessary for each node to locally determine whether it lies at (or near) the edge of the phenomenon. In this paper, we show that such localized edge detection techniques are non-trivial to design in an arbitrarily deployed sensor network. We define the notion of an edge and develop performance metrics for evaluating localized edge detection algorithms. We propose three different approaches for localized edge detection and present one example scheme for each. In all our approaches, each sensor gathers information from its local neighborhood and determines whether or not it is an edge sensor. We evaluate the performance! of each of the example schemes and compare them with respect to the developed metrics.
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