摘要： 针对无线传感器网络能量和计算能力严重受限等问题，通过对数据汇聚技术的研究，该文提出一种面向无限传感器网络的数据汇聚模型及实现算法。该模型将数据挖掘算法集成在每个传感器网络节点上，原始数据通过数据挖掘算法处理后，降低数据维数、消除数据冗余、减少网络通信量、延长网络寿命。仿真结果表明，该模型具有一定的理论和实用价值。

关键词: 无线传感器网络, 数据汇聚, 数据挖掘

Abstract: Aiming at the severe energy and computing resource constraints of Wireless Sensor Network(WSN), based on the analysis and study of data aggregation technology, a data aggregation model for WSN is proposed. Constructed data mining algorithm can be integrated in each sensor network node. Data dimension is reduced and data redundancy is eliminated after the raw-data is processed by data mining algorithm, and the communication traffic is decreased and the life of WSN is extended. Simulation results prove to be highly effective, so it is very valuable in practice.

Key words: Wireless Sensor Network(WSN), data aggregation, data mining

中图分类号: 

• TP393