四川大学学报（自然科学版）2017，Vol.54Issue(3)：493-498,6.DOI:10.3969/j.issn.0490-6756.2017.03.011
基于反向传播神经网络的WSN节点定位方法研究
The study of WSN node localization method based on back propagation neural network
摘要
Abstract
In order to cut down the localization accuracy problem of wireless sensor network (WSN),a novel node localization method is proposed with back propagation neural network (BPNN).At first,the calculation of node localization is presented by ranging interval and signal strength,and the parameters are rapid solving base on BPNN.Finally,a simulation experiment is conducted to study the influence key factor with NS2 and MATLAB.The results show that,compared other localization algorithm,this method has good suitability,and it could effectively reduce the localization error.关键词
无线传感器网络/定位/反向传播神经网络/误差Key words
Wireless sensor network/Localization/Back propagation neural network/Error分类
信息技术与安全科学引用本文复制引用
周春良,王明,屈卫清,陆正球..基于反向传播神经网络的WSN节点定位方法研究[J].四川大学学报（自然科学版）,2017,54(3):493-498,6.基金项目
国家自然科学基金(115050099) （115050099）
浙江省公益技术应用研究项目(2016C31129,2015C33236) （2016C31129,2015C33236）
浙江省教育厅科研项目(Y201432666) （Y201432666）
浙江省本科院校中青年学科带头人学术攀登项目(pd2013443)和宁波市自然科学基金项目(2012A610071) （pd2013443）
