| 基于D-S证据理论的组合数据融合算法 |
| |
| 引用本文： | 陆三兰,程铭东.基于D-S证据理论的组合数据融合算法[J].微电子学与计算机,2011,28(1):95-98. |
| |
| 作者姓名： | 陆三兰 程铭东 |
| |
| 作者单位： | 1. 华中科技大学,电子与信息工程系,湖北,武汉,430074
2. 黄石理工学院,数理学院,湖北,黄石,435003 |
| |
| 摘 要： | 针对在无线传感器网络中传感器节点本身能量有限的特性,提出一种基于D-S证据理论的组合数据融合算法.先对传感器网络的当前值依据各组数据的标准差进行聚类,然后对每一类数据组,用D-S证据推理算法进行融合,将其结果看成一个虚拟传感器节点数据,最后通过计算马哈诺比斯距离得出虚拟节点数据向量的异常值,把它作为加权权重进行加权融合.仿真试验表明:该算法识别目标的可信度高于D-S推理法,且在计算复杂度上也有明显优势.
|
| 关 键 词： | 无线传感器网络 数据融合 聚类分析 加权融合 |
Combination of Data Fusion Algorithm Based on D-S Evidence Theory |
| |
| LU San-lan,CHENG Ming-dong.Combination of Data Fusion Algorithm Based on D-S Evidence Theory[J].Microelectronics & Computer,2011,28(1):95-98. |
| |
| Authors: | LU San-lan CHENG Ming-dong |
| |
| Affiliation: | LU San-lan1,CHENG Ming-dong2(1 Department of Electronics and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China,2 Department of Mathematics and Physics,Huangshi Institute of Technology,Huangshi 435003,China) |
| |
| Abstract: | Considering the characteristics of energy constrained of sensor node itself in wireless sensor networks,a combination of data fusion algorithm was proposed base on D-S evidence theory.Firstly,the current value of Sensor network data was classified to some cluster based on the standard deviation,and then each category of data sets was fused by using D-S evidential reasoning algorithm,and the result would be treated as a virtual sensor node data.Finally,the outlier of virtual node data vectors was obtained by... |
| |
| Keywords: | wireless sensor networks data fusion cluster analysis weighted integration |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
