摘要
针对无线传感器网络中数据融合的安全问题,提出一种分簇结构下的基于信任的数据融合方法。簇头节点根据簇内成员节点采集的数据,计算得到一个相似度矩阵,量化了数据的可信度。基于相似度矩阵,采用beta分布函数计算节点的信任值,识别出非法节点。在数据融合过程中,剔除非法节点的虚假数据,并以不同的权值对正常节点的数据进行融合。测试结果表明,该方法能够根据节点发送的数据评估节点的可信度,避免非法数据对融合结果的影响,提高了数据融合结果的准确性。
Aiming at the security problem of data fusion in wireless sensor networks,a data fusion method base on trust is proposed in cluster structure.According to the data collected by cluster member nodes,a similarity matrix is computed by the cluster head node,and the credibility of data is quantized.Based on the similarity matrix,the trust of nodes is computed by using the beta distribution function,and the illegal nodes are recognized.During the data fusion process,the false data coming from invalid nodes will be rejected,and the data coming from normal nodes will be fused by different weights.The test results show that the method can estimate the credibility of nodes according to the data from nodes.And the bad influence coming from the illegal data of invalid nodes is avoided,the data accuracy of the fusion results is improved.
作者
何庆志
张润莲
李豪
HE Qingzhi ZHANG Runlian LI Hao(School of Information and Communication, Guitin University of Electronic Technology, Guilin 541004, China)
出处
《桂林电子科技大学学报》
2016年第6期483-486,共4页
Journal of Guilin University of Electronic Technology
基金
国家自然科学基金(61572148)
广西无线宽带通信与信号处理重点实验室主任基金(GXKL061510
GXKL0614110)
广西自然科学基金(2015GXNSFGA139007)
桂林电子科技大学研究生教育创新计划(YJCXS201524)
