首页> 外文会议>Embedded and Ubiquitous Computing Workshops : UISW, NCUS, SecUbiq, USN, and TAUES >Implementing a Graph Neuron Array for Pattern Recognition Within Unstructured Wireless Sensor Networks
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Implementing a Graph Neuron Array for Pattern Recognition Within Unstructured Wireless Sensor Networks

机译:实现非结构化无线传感器网络中的图案识别图形神经元阵列

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Graph Neuron (GN) is a network-centric algorithm which envisages a stable and structured network of tiny devices as the platform for parallel distributed pattern recognition. However, the unstructured and often dynamic topology of a wireless sensor network (WSN) does not allow deployment of such applications. In this paper, using GN as a test-bed application, we show that a simple virtual topology overlay would enable distributed applications requiring stable structured networks to be deployed over dynamic unstructured networks without any alteration.
机译:图形神经元(GN)是一种以网络为中心的算法,其设想作为平行分布式模式识别的平台的微型设备的稳定和结构化网络。然而,无线传感器网络(WSN)的非结构化和通常动态拓扑不允许部署这些应用。在本文中,使用GN作为测试床应用,我们表明简单的虚拟拓扑叠加层将使需要稳定的结构化网络的分布式应用程序在没有任何改变的情况下通过动态非结构化网络部署。

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