Performance Evaluation of Blockchains Towards Sharing of Digital Twins

Keisuke Takahashi, Kenji Kanai, Hidenori Nakazato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Citizens need to be involved to construct digital twins by sensing the urban environments using their IoT devices and sharing the sensed data among application providers. This "cooperative sensing"is one of the key solutions to achieve sustainable smart cities/super cities and offers improvement of the Quality of Life of citizens. In this view, blockchain and distributed ledger technology are collecting much attention to build a distributed data exchanging/sharing system for IoT data as well as cryptocurrency. However, the blockchain has a scalability issue in terms of large data volume and high-frequency transaction cases. In this paper, in order to reveal the comprehensive performance of blockchain when it is applied to sensor data sharing, we build a data-sharing system using Hyperledger Fabric which is one of the well-known blockchain platforms and evaluate the system performance by using a variety of sensing data, including images and 3D objects.

Original languageEnglish
Title of host publicationLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-129
Number of pages2
ISBN (Electronic)9781665419048
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, Japan
Duration: 2022 Mar 72022 Mar 9

Publication series

NameLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Conference

Conference4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Country/TerritoryJapan
CityOsaka
Period22/3/722/3/9

Keywords

  • Blockchain
  • Data sharing system
  • Digital Twins
  • Hyperledger Fabric

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Instrumentation
  • Education

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