Title: Information data perception allocation method for industrial internet of things based on dissimilarity algorithm

Authors: Yinlei Tian; Yan Yang

Addresses: Department of Basic Courses, Jiyuan Vocational and Technical College, Jiyuan 459000, China ' Experimental and Training Center, Jiyuan Vocational and Technical College, Jiyuan 459000, China

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.

Keywords: improved ant colony algorithm; data distribution delay function; dissimilarity algorithm; data aware allocation; initial cluster centre.

DOI: 10.1504/IJIMS.2023.135008

International Journal of Internet Manufacturing and Services, 2023 Vol.9 No.4, pp.437 - 448

Received: 28 Jun 2022
Accepted: 22 Aug 2022
Published online: 27 Nov 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article