基于TDOA的无线传感器网络四面体质心定位算法研究

摘要

在无线传感器网络中，确定节点位置或事件发生的位置对其监测活动至关重要。针对部署在二维空间的无线传感器网络质心定位算法性能问题，结合TDOA测距模型，引入定位近点的概念，并推广到三维空间，提出一种改进的四面体质心定位算法ICLA。并从不同节点密度、不同锚节点密度以及不同通信半径等方面比较两种算法的性能。仿真实验结果表明，改进之后的ICLA定位算法在定位误差和定位精度方面达到了更好的效果。%In wireless sensor networks,it is crucial for monitoring activities to determine the node location or the location of an incident.Aiming at the performance problem of centroid localisation algorithm in wireless sensor network (WSN)disposed in 2D space,and combiningwith TDOA ranging model,we introduce the concept of location near point and promote it to 3D space,and propose an improved tetrahedroncentroid localisation algorithm called ICLA.The performances of these two algorithms are compared in terms of different density of nodes,dif-ferent density of anchor nodes and different communication radius.Simulation experimental results show,the improved ICLA achieves bettereffect on location error and location accuracy