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作 者:刘兰淇[1] 向青松 LIU Lan-qi;XIANG Qing-song(Henan University of Economics and Law,Zhengzhou Henan 450046,China)
出 处:《计算机仿真》2021年第6期268-272,共5页Computer Simulation
基 金:河南省教育厅科研项目(16B550003)。
摘 要:传统网络载荷节点监督过程忽略了节点数据交换簇首的获取,导致出现了节点监督缺陷率较高,且节点开源度偏低。为此,提出新的网络数据交换下复合载荷节点半监督方法。确定当前节点范围内候异构数据点集合,排序空间邻域距离st值,确定节点传输半径距离。利用OCHS算法提取节点数据交换簇首,对比节点完整拓扑结构下复合载荷节点真实位置,判定位置变换情况,完成复合载荷节点的半监督。为验证提出的节点半监督方法的有效性,进行一次仿真,结果数据证明,上述监督方法的缺陷率比传统监督方法降低了30%,数据节点开源度提高了17%,整体监督效果更优,具有良好的应用前景。Traditionally, the network load node supervision ignored the acquisition for cluster head of node data exchange, resulting in high defect rate and low open-source degree of nodes. Therefore, a new semi-supervised method of composite load node based on network data exchange was presented. Firstly, we determined the set of heterogeneous data points within the current node range and sorted the st values of space neighborhood distance. Secondly, we determined the transmission radius of the node. Thirdly, we used the OCHS algorithm to extract the cluster head of node data exchange. By comparing the actual position of the compound load node under the complete topology structure, we judged the position transformation, and thus to complete the semi-supervision of the compound load node. In order to verify the validity of the proposed method, a simulation was carried out. Experimental results show that the defect rate of the proposed method is 30% lower than that of the traditional method, and the open-source degree of data node is improved by 17%. The overall monitoring effect is better, so this method has good application prospects.
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