一种基于分簇技术的数据融合算法

针对无线传感器网络节点能耗的限制以及通信数据的隐私问题，提出一种基于分簇技术的数据融合算法（Data Fusion Algorithm based on Clustering Technology, DFACT）。算法通过分簇技术解决通信数据的时延，簇内利用算法选择合适簇头，并构造数据融合树结构进行数据融合，减少数据通信量，保护数据隐私；簇间采用基于移动代理模型选择最佳路径提高通信效率。实验结果表明，DFACT算法可以有效地降低大规模无线传感器网络节点耗能，提高数据的安全性，延长网络生命周期。

A Data Fusion Algorithm Based on Clustering Technology

In view of the constraint of energy cost in wireless sensor network node and privacy of communication data, a data fusion algorithm based on clustering technology was proposed. The algorithm solves the delay of data communication by the clustering technology. To reduce the traffic of data and protect data privacy, we use a proper algorithm to select the head cluster and construct data fusion tree structure to fusion data within a cluster. Among clusters, mobile agent model is used to select the best route to improve communication efficiency. Experimental results show the DFACT algorithm can effectively reduce the energy cost of large scale wireless sensor network, enhance data security and prolong the network lifetime.