摘要
针对基于RSSI的三角形质心定位算法会出现不能工作的情况,提出了基于ZigBee的加权改进Euclidean定位算法。此算法利用最小二乘法得到环境参数,然后利用加权改进Euclidean定位算法对未知节点进行定位。仿真和实验表明,该算法具有一定的实用价值。
RSSI-based triangle and centroid location sometimes can not work, in order to solve this problem, weighted improved Euclidean localization algorithm is proposed based on ZigBee. The algorithm uses the least square method to derive the parameters of the environment, and then the weighted improved Euclidean localization algorithm is used to locate the unknown nodes. The result of the simulation and experiment proves that it can be applied to some applications.
出处
《电视技术》
北大核心
2011年第23期75-77,113,共4页
Video Engineering
基金
国家科技支撑计划项目(2008BAH28B06-05)
重庆市科委科技攻关项目(CSTC2009AC6203)
关键词
无线传感器网络
加权
定位
wireless sensor network
weighted
localization
