摘要
为减少定位硬件成本和提高定位效率,提出一种与最小二乘法、加权平均法相结合的测距方法。通过信标节点间的相互协作,将测量得到的数据使用最小二乘曲线拟合和加权求平均值的方法处理,求得路径衰减指数和损耗模型,以达到精准的节点定位效果。实验结果表明,这种方法获得改进后的损耗模型不仅受环境因素影响减小,而且测距精度与传统RSSI测距模型相比更加精确。
In order to reduce the hardware cost and improve the efficiency of the position,a method was proposed which combined the least square method and the weighted average. Some experimental data were obtained through the communication of beacon node,and then were handled by the least square method and the weighted average to calculate the path attenuation index and loss model,to achieve node localization accuracy.Experimental results show that the modified loss model which through above method not only could reduce the environmental factors affection but also more accurate than the traditional loss model.
作者
贾宗璞
徐园园
董家昕
JIA Zongpu;XU Yuanyuan;DONG Jiaxin(School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000 ,Henan, China;School of Safety Science and Engineering,Henan Polytechnic University, Jiaozuo 454000 , Henan, China)
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2016年第4期551-555,共5页
Journal of Henan Polytechnic University（Natural Science）
基金
河南省科技攻关项目(132102210123)
关键词
无线传感器网络
节点定位
RSSI测距
最小二乘法
加权平均法
weirless sensor network
node localization
distance measurement based on RSSI
the least square algorithm
weighted average method
