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METHOD AND SYSTEM FOR ACHIEVING AUTO ADAPTIVE CLUSTERING IN A SENSOR NETWORK

机译:在传感器网络中实现自动自适应聚类的方法和系统

摘要

A system and method for achieving auto-adaptive clustering in a sensor network has been explained. The system performs a hierarchical clustering in sensor networks to maximize the lifetime of the network. The system includes a set of sensor nodes and a sink node. The clusters in sensor networks are formed automatically from a large number of deployed nodes where the cluster characteristics are driven by the measurement requirements defined by the end-user. The system also employs a clustering algorithm to achieve adaptive clustering. The processor further includes a first level clustering module for grouping the set of sensor nodes into data level clusters based on the measurements. The processor further includes a second level clustering module for grouping the set of sensor nodes in the data level clusters into the location level clusters based on location. In another embodiment, that clustering can go on to more than two levels.
机译:已经解释了用于在传感器网络中实现自适应聚类的系统和方法。该系统在传感器网络中执行分层聚类,以最大化网络的生命周期。该系统包括一组传感器节点和一个宿节点。传感器网络中的群集是由大量部署的节点自动形成的,这些群集的特征由最终用户定义的测量要求来驱动。该系统还采用聚类算法来实现自适应聚类。处理器还包括第一级聚类模块,用于基于测量将传感器节点的集合分组为数据级聚类。处理器还包括第二级聚类模块,用于基于位置将数据级聚类中的传感器节点的集合分组为位置级聚类。在另一个实施例中,该聚类可以继续到两个以上的级别。

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