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论文摘要

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

作者:周春良(宁波大红鹰学院信息工程学院);王明(宁波大红鹰学院信息工程学院);屈卫清(宁波大红鹰学院信息工程学院);陆正球(宁波大红鹰学院信息工程学院)

Author:ZHOU Chun-Liang(College of Information Engineering, Ningbo Dahongying University);WANG Ming(College of Information Engineering, Ningbo Dahongying University);QU Wei-Qing(College of Information Engineering, Ningbo Dahongying University);LU Zheng-Qiu(College of Information Engineering, Ningbo Dahongying University)

收稿日期:2016-10-17          年卷(期)页码:2017,54(3):493-498

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字: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

基金项目:

中文摘要

针对无线传感器网络存在的定位精度问题,基于反向传播神经网络提出一种新的节点定位方法。该方法首先结合时间差测距和信号强度给出了节点定位计算公式,同时结合反向传播神经网络对上述参数进行快速求解。最后结合NS2和MATLAB进行仿真实验,深入研究了影响定位方法的关键因素。通过对比其他定位算法,本方法具有较好的适应性,能够有效降低定位误差。

英文摘要

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.

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