复杂网络数据信息传输稳定性检测仿真研究  

Simulation Research on Stability Detection of Data Transmission in Complex Networks

作　　者：陈凤[1] 

机构地区：[1]石河子大学信息科学与技术学院,新疆石河子832000

出　　处：《计算机仿真》2018年第1期341-344,共4页Computer Simulation

摘　　要：对复杂网络数据信息传输的稳定性检测,能够有效保障网络的稳定运行。对信息传输稳定性的检测,需要获取各个数据对象与其邻域的加权距离,计算出每个数据对象的离群度量值,完成对数据信息传输稳定性的检测。传统方法计算出数据集的属性个数,获取每条数据记录的离群度,但忽略了计算出每个数据对象的离群度量值,导致检测精度偏低。提出基于密度的复杂网络数据信息传输稳定性检测方法。将网络整体的数据分布状态划分为不同类型的区间,描述网络信息组,对网络各个区域的数据流密度进行划分,给出稠密网格的区域,利用空间属性及其空间关系确定不同数据密度空间邻域,获取各个数据对象与其邻域的加权距离,计算出每个数据对象的离群度量值,完成对复杂网络数据信息传输稳定性检测。仿真证明,所提方法数据检测精度高,为提升和保障网络的稳定运行奠定了基础。ABSTRACT： A stability detection method for data information transmission of complex networks is proposed based on density. Firstly, the holistic data distribution of the network is divided into different types of intervals, and the net- work information group is described, and then the data flow density of each region of the network is partitioned to dense grid regions. Secondly, spatial attributes and their spatial relations are utilized to determine the spatial neigh- borhood of different data densities to obtain weighted distance between each data object and its neighborhood. Finally, the outlier metric of each data object is calculated to complete the stability detection for data information transmission of complex networks. The simulation results show that the method has high detection accuracy. It can promote and guarantee stable operation of network.

关 键 词：复杂网络 离群数据 检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]