基于Boosting算法的Pegasis路由协议在无线传感器网络中的应用

A novel method for wireless sensor network based on boosting algorithm

一种基于Boosting算法的新无线传感器网络节点数据处理方法在文章中被提出,以提高使用Pegasis路由协议的无线传感器网络目标辩识率并降低系统能耗。文章对无线传感器网络中从簇头到汇聚节点的数据处理过程进行了重新设计,在簇头使用数据融合技术以减少数据信息冗余和系统能耗,在汇聚节点采用Gentle Boosting算法提高信息准确度并实现最优决策簇的选取。基于Boosting算法的数据处理方法在保持Pegasis路由协议优点基础上,在系统辩识率与系统能耗两者之间寻找到一个较为理想的平衡点。最后实验结果显示,与传统方法相比文章中的数据处理方法在提高辩识率与降低系统能耗方面拥有更好的性能。

In order to improve the performance of identification rate and reduce consumption of system energy,a novel data process method of wireless sensor network was proposed in this paper.The data process,which was from the cluster node to sink in wireless sensor network,has been redesigned in this paper.The data fusion technology was used in the cluster node for reducing both data redundancy and system energy consumption,and the gentle boosting algorithm was employed to improve the accuracy of information and choose the optimal decision cluster.The experimental results prove that the method of this paper have the superior performances between improving the identification rate and reducing system energy consumption compared to the traditions.