Data Fusion of Heterogeneous Network Based on BP Neural Network and Improved SEP

被引：0

作者：

Cao, Yu ^{[1
]}

Zhang, Linghua ^{[2
]}

机构：

[1] NJUPT, Coll Telecommun & Informat Engn, Nanjing, Jiangsu, Peoples R China

[2] Jiangsu Prov Engn Res Ctr Telecommun & Network Te, Nanjing, Jiangsu, Peoples R China

来源：

2017 9TH INTERNATIONAL CONFERENCE ON ADVANCED INFOCOMM TECHNOLOGY (ICAIT 2017) | 2017年

关键词：

component; intermediate node; SEP algorithm; BP neural network; data fusion;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a data fusion method for Heterogeneous Wireless Sensor Networks (WSN). On the basis of the classic heterogeneous network clustering algorithm Stable Election Protocol(SEP), the intermediate nodes are added to optimize the information transfer within the cluster, and the Back Propagation(BP) neural network is used to fuse the data received from the cluster head into the cluster. The simulation results show that the method can greatly improve the energy consumption of nodes and the lifetime of wireless sensor networks.

引用

页码：138 / 142

页数：5

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