首页> 外文会议>Embedded and Ubiquitous Computing(EUC 2005) Workshops : UISW, NCUS, SecUbiq, USN, and TAUES; 20051206-09; Nagasaki(JP) >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:在非结构化无线传感器网络中实现图神经元阵列以进行模式识别

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摘要

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:Graph Neuron(GN)是一种以网络为中心的算法,它设想将稳定且结构化的微型设备网络作为并行分布式模式识别的平台。但是,无线传感器网络(WSN)的非结构化且经常动态的拓扑不允许部署此类应用程序。在本文中,使用GN作为测试平台应用程序,我们证明了简单的虚拟拓扑覆盖将使需要稳定结构化网络的分布式应用程序能够在动态非结构化网络上进行部署,而无需进行任何更改。

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