Information data perception allocation method for industrial internet of things based on dissimilarity algorithm Online publication date: Mon, 27-Nov-2023
by Yinlei Tian; Yan Yang
International Journal of Internet Manufacturing and Services (IJIMS), Vol. 9, No. 4, 2023
Abstract: 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.
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