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A blockchain-based IoT data management scheme using Bernoulli distribution convergence in the mobile edge computing

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Abstract

With the creation of a mobile edge computing environment in which IoT technologies are converged on cloud services, the importance of high-capacity data processing technologies is increasing. In this paper, we propose a block chain–based convergence data management technique to efficiently handle different kinds of data processed in mobile edge computing environment. The proposed technique minimized data loss by connecting information from specific IoT devices to multiple hash boxes and adding electronic signatures to the first and last information. In addition, the similarity of IoT data is applied stochastically to respond flexibly to changes in the system. Since the proposed technique links IoT data with different probabilities, it has distributed and deployed IoT data of n bits according to certain rules to reduce the load that can occur on the server. As a result of performance evaluation, the proposed technique has improved the conversion performance assessment of average transcoding propit because block password hash increases depending on AP density and scope when managing blockchain-based IoT data. In addition, the time to generate IoT data was improved because the cumulative use of transactions processed through similarity of blockchain-based IoT data was managed in a group of certain sizes to link the blocks consistently.

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Authors and Affiliations

  1. Department of Information and Communication Convergence Engineering, Mokwon University, 88, Doanbuk-ro, Seo-gu, Daejeon, 35349, South Korea

    Yoon-Su Jeong

  2. Division of Software Liberal Arts, Mokwon University, 88, Doanbuk-ro, Seo-gu, Daejeon, 35349, South Korea

    Yong-Ho Yon

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  1. Yoon-Su Jeong
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  2. Yong-Ho Yon
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Correspondence to Yong-Ho Yon.

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Jeong, YS., Yon, YH. A blockchain-based IoT data management scheme using Bernoulli distribution convergence in the mobile edge computing. Pers Ubiquit Comput 27, 1077–1086 (2023). https://doi.org/10.1007/s00779-020-01459-3

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  • DOI: https://doi.org/10.1007/s00779-020-01459-3

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