Wireless sensor network data fusion based on GSO improved BP algorithm

被引：0
|
作者：
Mai, Fanjin [1 ]
Huang, Huajian [1 ]
机构：
[1] Guilin Univ Technol, Sch Mech & Control Engn, Guilin 541004, Peoples R China
来源：
PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING | 2016年 / 32卷
关键词：
wireless sensor networks; data fusion; BP neural network; GSO algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the efficiency of data fusion in wireless sensor networks and reduce the energy consumption of the system, a new method of data fusion based on GSO algorithm for optimizing BP neural network is proposed. Sensor nodes sensing data, and then use the GSO algorithm to optimize the BP neural network data fusion. The simulation experiments results show that the proposed algorithm is better than the other typical algorithms and it improves the efficiency of data fusion, saves the energy consumption and prolongs the network life.
引用
收藏
页码：418 / 422
页数：5
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