基于共线定位机制的WSN坐标捕捉算法

The WSN coordinate capture algorithm based on collinear location mechanism

为解决当前WSN坐标捕捉方法存在的网络捕捉性能较低,坐标精度不高等问题,提出了一种新的基于共线定位机制的WSN坐标捕捉算法.首先,利用网络节点组拓扑中心具有的坐标相似特性,构建坐标聚类,设计了一种基于拓扑中心相似机制的聚类收敛初始化过程,该过程采用多次定位的方式来提高坐标初始化的收敛速度,并结合多节点效应来降低估测所产生的定位误差,降低信道噪声对坐标捕捉过程的影响.然后,利用WSN网络存在的网络节点组共线现象,设计了一种基于共线定位机制的坐标捕捉精度提升,该机制采用共线定位机制来提高坐标捕捉过程收敛程度,进一步提高了算法定位精度.仿真实验表明:较能量自适应切片定位方案、四叉树聚类网络定位方案相比,本文算法具有更低的坐标捕捉轮数和网络带宽消耗率,而且还有更理性的坐标捕捉精度.

In order to solve the shortcomings of low network capture performance and low coordinate accuracy in current Wireless Sensor Network(WSN)coordinate capture methods,a new WSN coordinate capture algorithm based on collinear location mechanism is proposed.Firstly,the coordinate clustering is constructed by utilizing the coordinate similarity characteristic of the network node group's topological center,and a clustering convergence initialization process based on the similarity mechanism of the network node group's topological center is designed.This process uses multiple positioning to improve the convergence speed of the coordinate initialization,and combines the multi-node effect to reduce the positioning error caused by the estimation and reduce the channel noise to capture coordinates.Secondly,using the collinearity phenomenon of the network group existing in the WSN network,a coordinate capturing method based on the collinear positioning mechanism is designed for improvement of the convergence degree of coordinate capture process and the positioning accuracy of the algorithm.The simulation results show that the proposed algorithm has a lower number of catching wheels and the bandwidth consumption rate of the network than the Energy-Efficient Adaptive Slice-Based Secure Data Aggregation Scheme(EEASS)and the Quadtree Clustering of the Sensors in a Grid-Based WSN(QC-LADC)algorithm.It also has a more rational coordinate capture accuracy.