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A novel identity resolution system design based on Dual-Chord algorithm for industrial Internet of Things

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Abstract

The industrial Internet of Things (IIoT) has attracted enormous attention from academics and industries, which is a significant component of the future transformation of industrial systems. The analysis, understanding, and application of all kinds of fragmented data in IIoT is one of the critical technologies that need to be studied in the future. The identity resolution technology is the most promising technology to achieve this goal at present. Although many identity resolution systems based on domain name system (DNS) have been proposed, there are technical problems with a single root node causing system performance bottlenecks and slow resolution rates. In this paper, we focus on a widely used distributed structured peer-to-peer (P2P) object name system (ONS) and redesign a novel identity resolution system based on a Dual-Chord algorithm for IIoT. The support vector machine (SVM) algorithm is first introduced in the system designed in this paper to implement the clustering of the P2P network. And then, the Dual-Chord algorithm is proposed, which can get better performance than the classical Chord algorithm. This system resolves the mismatch between logical and physical addresses and improves the resolution rate of the system. Finally, through PeerSim network simulation software, this paper evaluates the simulation performance of the improved identity resolution system based on the Dual-Chord algorithm. Simulation results prove that the system proposed in this paper is a more efficient identity resolution system.

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Acknowledgements

This work was supported by Natural Science Foundation of Beijing (Grant No. 4212004), National Key Research and Development Program of China (Grant No. 2019YFB1804403), and MIIT of China 2019 (Innovative Identification and Resolution System for Industrial Internet of Things).

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Authors and Affiliations

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Renchao Xie, Zhiyuan Wang, Tao Huang & Yunjie Liu

  2. Department of Future Network, Purple Mountain Laboratories, Nanjing, 211111, China

    Renchao Xie, Tao Huang & Yunjie Liu

  3. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, K1S 5B6, Canada

    Fei Richard Yu

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  1. Renchao Xie
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  2. Zhiyuan Wang
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  4. Tao Huang
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  5. Yunjie Liu
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Correspondence to Renchao Xie.

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Xie, R., Wang, Z., Yu, F.R. et al. A novel identity resolution system design based on Dual-Chord algorithm for industrial Internet of Things. Sci. China Inf. Sci. 64, 182301 (2021). https://doi.org/10.1007/s11432-020-3016-x

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