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首页> 外文会议>International Conference on Conceptual Modeling(ER 2004): Workshops on CoMoGIS, CoMWIM, ECDM, CoMoA, DGOV, and eCOMO; 20041108-12; Shanghai(CN) >CL2: A Multi-dimensional Clustering Approach in Sensor Networks
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CL2: A Multi-dimensional Clustering Approach in Sensor Networks

机译：CL2：传感器网络中的多维聚类方法

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摘要

Sensor networks are among the fastest growing technologies that have the potential of changing our lives drastically. These collaborative, dynamic and distributed computing and communicating systems are generating large amounts of data continuously. Finding useful patterns in large sensor data sets is a tempting however challenging task. In this paper, a clustering approach, CL~2,CLuster and CLique, is proposed. CL~2 can not only identify clusters in a multi-dimensional sensor dataset, discover the overall distribution patterns of the dataset, but also can be used for partitioning the sensor nodes into subgroups for task subdivision or energy management. CL~2's time efficiency, and accuracy of mining are evaluated through several experiments. A theoretic analysis of the algorithm is also presented.
机译：传感器网络是发展最快的技术之一，有可能极大地改变我们的生活。这些协作，动态和分布式的计算和通信系统正在不断生成大量数据。在大型传感器数据集中寻找有用的模式是一项诱人但具有挑战性的任务。本文提出了一种聚类方法CL〜2，CLuster和CLique。 CL〜2不仅可以识别多维传感器数据集中的群集，发现数据集的整体分布模式，还可以用于将传感器节点划分为子组，以进行任务细分或能源管理。通过一些实验评估了CL〜2的时间效率和挖掘精度。还对该算法进行了理论分析。

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