传感技术学报2018，Vol.31Issue(2)：283-288,6.DOI:10.3969/j.issn.1004-1699.2018.02.022
无线传感网中一种智能数据融合算法的实现及仿真分析
Implementation and Simulation Analysis of an Intelligent Data Fusion Algorithm in Wireless Sensor Network
胡强 1王海涛 2底楠 3陈晖 2黄达1
作者信息
- 1. 陆军工程大学通信工程学院,南京210007
- 2. 陆军工程大学信息管理中心,南京210007
- 3. 中国电子设备系统工程公司通信研究所,石家庄050000
- 折叠
摘要
Abstract
Sensor nodes in wireless sensor network(WSN)are usually powered by their own assembled batteries which are difficult to recharge,therefore,saving energy is crucial for WSN. In order to improve the energy utilization of wireless sensor network and prolong the survival time of the network,a data fusion algorithm based on BP neural network named GAPSOBP is proposed which is optimized by genetic algorithm and particle swarm optimization algo-rithm. In GAPSOBP algorithm,sensor nodes are analogy to BP neural network neurons. The sensing data collected by sensor nodes is extracted by BP neural network,and then combined with clustering routing to fuse data for the purpose of reducing the amount of data sent to the Sink node. Simulation results show that compared with the classi-cal LEACH algorithm and PSOBP algorithm,GAPSOBP algorithm can effectively reduce network communication traffic,save node energy consumption and prolong the network lifetime.关键词
无线传感网/数据融合/遗传算法/粒子群算法/BP神经网络Key words
wireless sensor network(WSN)/data fusion/genetic algorithm/particle swarm optimization/BP neural network分类
信息技术与安全科学引用本文复制引用
胡强,王海涛,底楠,陈晖,黄达..无线传感网中一种智能数据融合算法的实现及仿真分析[J].传感技术学报,2018,31(2):283-288,6.
