无线传感器网络改进质心算法的节点自定位  

Wireless Sensor Network Node Centroid Algorithm to Improve Self-Localization

作　　者：张华[1] 刘玉良[1] 单海校[1] 

机构地区：[1]浙江海洋学院机电工程学院,浙江舟山316000

出　　处：《浙江海洋学院学报（自然科学版）》2011年第4期344-348,共5页Journal of Zhejiang Ocean University(Natural Science Edition)

摘　　要：节点自定位是无线传感器网络的关键技术之一。在对距离无关的定位机制质心算法研究的基础上,采用极大似然估计法,估算信标节点与未知节点间的距离,以距离作约束降低误差值,从而提高定位的精度。通过MATLAB仿真,结果表明算法能够有效提高定位精度。Node self-localization of wireless sensor networks is one of the key. In the location mechanism independent of distance based on maximum likelihood estimation method, estimates the distance between beacon nodes and unknown nodes in order to reduce the distance error for the constraint to improve the accuracy. Through the MATLAB simulation, the results show that the algorithm can effectively improve the positioning accuracy.

关 键 词：无线传感器网络 质心算法 极大似然法 定位精度 

分 类 号：TP393.027[自动化与计算机技术—计算机应用技术]