摘要
使用接收信号强度指示(RSSI)作为估测无线网络中节点间距的低成本方案得到了广泛的应用。文章提出了一种新的RSSI测距模型,该模型可以进一步提升测距结果准确性,从而降低测距误差。考虑无线信号传播过程中反射、衍射等信号本身的物理特性以及受到环境条件变化的影响,将这些不同因素导致的影响体现在了模型的多个参数中。在考虑环境的动态变化特性基础上,提出了根据距离变化率调整模型参数的自适应方法,进一步改善了测距结果精度。在处理和拟合实验数据的过程中使用了三角剖分法作为数据的过滤提取方法,从而避免了传统的平均值法、中间值法等方法的局限性。通过对仿真实验的分析可以发现,多项式模型的精度与稳定性优于对数模型,动态模型的整体精度优于静态模型。自适应算法的平均误差比传统静态模型误差低约30%。
It is widely applied as a low cost solution that estimating distance between nodes in the same wireless network by RSSI. An improved RSSI distance estimating model is proposed in order to promote accuracy of result and reduce error,by taking signal properties like electromagnetic signal reflection,refraction,etc. and environmental condition in account and representing their influence on signal measurement as different parameters of new model. A self-adaptive method which adjusts parameters of algorithm accordingly to surrounding condition change is proposed,it makes accuracy of distancing result better. Triangulation is introduced in data processing and data fitting when constructing data noise filter,which avoided limitations of simple mean or medium filtering method. By running simulation it is found that accuracy and stability of our model is better than the original logarithmic model,and overall accuracy of dynamic algorithm is better than static algorithm. The average error of self-adaptive method is nearly30% below with the average error of legacy model.
作者
王险峰
郭光亿
赵玲
邱祖泽
丁子琳
WANG Xianfeng;GUO Guangyi;ZHAO Ling;QIU Zuze;DING Zilin(School of Computer&Information Technology,Northeast Petroleum University,Daqing 163318)
出处
《计算机与数字工程》
2022年第10期2141-2144,2222,共5页
Computer & Digital Engineering
关键词
距离估算
RSSI
自适应
三角剖分
微分方程
distance measuring
RSSI
self-adaptive
triangulation
differential equation
