Algorithm of Data Fusion Based on Double-BP Multi Sensor Neural Network

摘要：

Considering the importance of the solution to some problems of wireless sensor networks such as data redundancy and low efficiency of data fusion. A new data fusion algorithm based on double layers BP neural network is proposed in this paper. The abnormal node data will be eliminated by training through double layers BP neural network, its prerequirement of the node is not so strict, and its self-adaptively is reliable. It is illustrated by simulation experiment that the proposed algorithm has not only a good effect on the aspects of network transmission rate , but also reduce energy consumption than other similar protocols.

关键词： Wireless Sensor Network Double BP Neural Network Data Fusion

作者: Guangcong Liu Yuanjie Shi Cong Li

作者单位: Faculty of Computer, Guangdong University of Technology, Guangzhou, China

会议类型: 国际会议

会议名称: 2012 International Conference on Future Communication and Computer Technology(2012未来通信与计算机技术国际会议ICFCCT 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 327-331

在线出版日期: 2012-05-19（万方平台首次上网日期，不代表论文的发表时间）