基于数据相关性无线传感器网络的虚拟分组管理方法

A Data Correlation-based Virtual Clustering Management Algorithm for Wireless Sensor Network

无线传感器网络作为一个新兴的网络,有着诸多的应用场景。本文根据无线传感器节点数据的相关性,利用"分簇"机制的思想,对无线传感器网络中的节点进行了"虚拟分组"划分,数据相关性较强的节点被划分到同一个虚拟分组内进行管理。仿真分析表明,该方法有效地减少了网络中传输的数据量,减少了能量消耗,有效地延长了网络生存时间。

As a new network paradigm, Wireless Sensor Networks （WSN） have been widely used in a variety of applications. Considering the topology control algorithms in WSN, Clustering Routing Algorithm can effectively reduce network energy consumption and prolong network lifetime. But existed Clustering Routing Algorithms are usually location-based, where data correlations are not considered. This paper proposes a data correlation based clustering approach. Nodes that are strongly dala correlated will be divided in the same group. The experimental results show the proposed algorithm can reduce the amount of messages sent by the nodes, and the network lifetime is prolonged as well.