A blockchain-based IoT data management scheme using Bernoulli distribution convergence in the mobile edge computing
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ORIGINAL ARTICLE
A blockchain-based IoT data management scheme using Bernoulli distribution convergence in the mobile edge computing Yoon-Su Jeong1 · Yong-Ho Yon2 Received: 29 May 2020 / Accepted: 8 September 2020 © Springer-Verlag London Ltd., part of Springer Nature 2020
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. Keywords Mobile edge computing · IoT · Blockchain · Bernoulli distribution convergence · Data management · Data processing
1 Introduction With portable devices such as smartphones becoming popular, the number of users using cloud services is steadily increasing. In particular, because the user’s sensitive data is stored on a cloud server rather than on a personal computer, users can easily be served whenever and wherever they want. Cloud computing is efficient in environments that handle large amounts of data such as smart factory and bio-medical, but applications on IoT have problems
Yong-Ho Yon
[email protected] Yoon-Su Jeong [email protected] 1
Department of Information and Communication Convergence Engineering, Mokwon University, 88, Doanbuk-ro, Seo-gu, Daejeon, 35349 South Korea
2
Division of Software Liberal Arts, Mokwon University, 88, Doanbuk-ro, Seo-gu, Daejeon, 35349 South Korea
with cloud services that are not smooth due to constraints such as support for mobility, localization, and low delay. Mobile edge computing (MEC) is gaining popularity as a complement to cloud computing to handle data that require short response time, efficient processing, and network pressure relief for applications [1]. Because MEC is a network environment that includes all kinds of electrical devices and sensors, large amounts of data can be continuously generated and transmitted if only the Internet is conne
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