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Session AI and Data Analysis Ⅱ

DAG-based Distributed Data Management System for Smart Factory

초록

영어

The commercialization of Internet of Things (IoT) technology has enabled data-driven connectivity and automation across a variety of industries. In particular, the manufacturing field has developed into a smart factory that automates parts of the production process and optimizes manufacturing activities through data collection and analysis. In this smart factory environment, as security and scalability issues regarding large amounts of data generated within the network arise, the need for distributed ledger-based solutions is emerging. In this paper, we design a Directed Acyclic Graph (DAG) based distributed data management system that enables distributed data processing in a smart factory IoT network composed of multiple devices. The proposed system uses a DAGbased data storage structure and state channel technology to improve network efficiency, security, and scalability. The proposed system can comprehensively support heterogeneous IoT devices and ensure the integrity of data transmitted and received in this process.

목차

Abstract
I. INTRODUCTION
II. SYSTEM DESIGN
A. IoT Data Transaction
B. DAG-based Data Storage System
C. Blockchain State Channel
III. PERFORMANCE EVALUATION
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자정보

  • Taehoon Yoo School of Electrical Engineering Korea University
  • Kiseok Kim School of Electrical Engineering Korea University
  • Sangmin Lee School of Electrical Engineering Korea University
  • Hwangnam Kim School of Electrical Engineering Korea University

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