基于SPE的无线传感器网络定位算法  

Localization Algorithm Based on Stochastic Proximity Embedding in Wireless Sensor Networks

作　　者：焦斌亮[1] 张可[1] 

机构地区：[1]燕山大学信息科学与工程学院,河北秦皇岛066004

出　　处：《小型微型计算机系统》2013年第2期269-271,共3页Journal of Chinese Computer Systems

摘　　要：通过对无线传感器网络经典定位算法的分析,针对MDS-MAP(P,R)算法的高计算复杂度,提出了一种新的基于SPE(Stochastic Proximity Embedding)技术的无线传感器网络定位算法,该算法因不需要复杂的额外求精过程和地图合并过程而大幅降低了对节点能量的消耗.实验仿真表明,本文算法在低计算复杂度的前提下,有较高的节点定位精度.With the study of classical localization algorithm in wireless sensor network , considering the high computational complexity of MDS-MAP（ P,R） ,a new localization algorithm based on SPE（ Stochastic Proximity Embedding） is proposed. Not requiring extra complex processes like map stitching and refinement,the algorithm reduces the energy consumption of nodes substantially. The results of simulation show that the proposed algorithm has better positioning accuracy at the context of low computational complexity.

关 键 词：无线传感器网络 定位 SPE算法 定位精度 计算复杂度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]