南京理工大学学报（自然科学版）2017，Vol.41Issue(4)：466-471,6.DOI:10.14177/j.cnki.32-1397n.2017.41.04.011
人工蜂群优化神经网络的无线传感器节点定位算法
Node localization of wireless sensor network by using artificial bee colony algorithm optimizing neural network
摘要
Abstract
In order to obtain the ideal results of node localization for wireless sensor network,a novel node localization of wireless sensor network based on an artificial bee colony algorithm optimizing neural network is proposed.Firstly,three anchor nodes are selected and parameters between localization sensor nodes are obtained according to the measurement model;secondly, an artificial bee colony algorithm optimizing neural network is used to predict ranging errors,and location errors are corrected to determine the weight;finally,node localization results are obtained according to the three-edge location algorithm.The performance is analyzed through the specific test experiment.The results show that the proposed model improves the node localization accuracy and has better node localization and real-time performance.关键词
室内定位/无线传感器网络/人工蜂群优化算法/神经网络/锚节点/仿真实验Key words
indoor localization/wireless sensor network/artificial bee colony optimization algorithm/neural network/anchor nodes/simulation experiment分类
信息技术与安全科学引用本文复制引用
周子昂,徐坤,程全,刘玉春..人工蜂群优化神经网络的无线传感器节点定位算法[J].南京理工大学学报（自然科学版）,2017,41(4):466-471,6.基金项目
国家自然科学基金(61401526) （61401526）
河南省教育技术装备与实践教育研究项目(GZS309) （GZS309）
