一种基于人工神经网络的无线传感器网络定位算法  

Wireless Sensor Network Location Algorithm Based on Artificial Neural Networks

作　　者：徐奇[1] 

机构地区：[1]安徽工商职业学院电子信息系,合肥230001

出　　处：《新乡学院学报》2013年第3期202-204,共3页Journal of Xinxiang University

摘　　要：提出了一种基于人工神经网络(ANN)的无线传感器网络定位方法,RSSI的结果被用来作为人工神经网络的输入,采用遗传算法优化人工神经网络的结构.采用MATLAB进行仿真,模拟20 m×20 m室内静态网络环境下的8个已知位置节点.实验结果表明,该方法比传统方法的定位精度高、适应性强,效果较好.This work presents a wireless sensor network localization based on artificial neural networks （ANNs）. Results of RSSI are used as the input of ANNs. Genetic algorithm is used to optimize the ANNs structure. By MATLAB, eight known location nodes are simulated under environment of 20 m×20 m static indoor network. Experimental results show that the method has higher positional accuracy and adapted, better effect compared with traditional method.

关 键 词：神经网络 遗传算法 无线传感器 网络定位 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]