Information data perception allocation method for industrial internet of things based on dissimilarity algorithm
参考中译:基于相异性算法的工业物联网信息数据感知分配方法


          

刊名：International Journal of Internet Manufacturing and Services
作者：Yinlei Tian（Department of Basic Courses, Jiyuan Vocational and Technical College）
Yan Yang（Experimental and Training Center, Jiyuan Vocational and Technical College）
刊号：738LD067
ISSN：1751-6048
出版年：2023
年卷期：2023, vol.9, no.4
页码：437-448
总页数：12
分类号：TP393
关键词：Improved ant colony algorithm；Data distribution delay function；Dissimilarity algorithm；Data aware allocation；Initial cluster centre
参考中译：改进蚁群算法；数据分布延迟函数；相异度算法；数据感知分配；初始聚类中心
语种：eng
文摘：In order to improve the efficiency and accuracy of industrial IOT information data perception and allocation, this paper proposes an industrial IOT information data perception and allocation method based on dissimilarity algorithm. Firstly, the dissimilarity matrix is constructed to determine the data attribute values. Secondly, according to the method of dissimilarity degree, the candidate point set of clustering centre point is determined. Then, generation allocation matrix is built to calculate the storage capacity of the node ID, and the security of the data node is calculated through the dissimilarity algorithm. Finally, the poor security allocation scheme is removed, and the information and data perception allocation results of the internet of things are obtained. The experimental results show that the distribution recall rate of this method can reach 97.2%, the distribution accuracy is 97.3%, and the distribution time is only 5.6 s, indicating that this method can improve the data aware distribution effect.
参考中译：为了提高工业物联网信息数据感知和分配的效率和准确性，提出了一种基于相异算法的工业物联网信息数据感知和分配方法。首先，构造相异矩阵来确定数据属性值。其次，根据相异度方法确定聚类中心点的候选点集。然后，建立发电分配矩阵计算节点ID的存储容量，并通过相异度算法计算数据节点的安全性。最后，去掉安全性差的分配方案，得到物联网的信息和数据感知分配结果。实验结果表明，该方法的分发召回率可达97.2%，分发正确率为97.3%，分发时间仅为5.6 S，表明该方法能够提高数据感知分发效果。



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