Loughborough University
Browse

User-centric blockchain for industry 5.0 applications

Download (527.05 kB)
conference contribution
posted on 2024-10-16, 14:47 authored by Hulin Yang, Alia AsheralievaAlia Asheralieva, Jin Zhang, Md Monjurul Karim, Dusit Niyato, Khuhawar Arif Raza
The forthcoming Industry 5.0 era reinforces the role of the 'human( user )-centric' approach for future technologies, services and applications, where the key objective is to satisfy the quality of service (QoS), security and privacy requirements of each individual user. To meet this objective, blockchain is considered as one of the prime enablers, as it allows secure, reliable, verifiable, and transparent management of private user data. However, contemporary blockchains are not suitable for Industry 5.0 applications due to their inability to ensure high throughput while maintaining reasonable security levels. Hence, in this paper, we design a user-centric sharded blockchain that enables generating, verifying, and storing blocks of data related to individual users with the aim to satisfy their QoS, security and privacy requirements. By analyzing the impact of user allocations to shards on the block period, we devise the user-shard allocation algorithm to minimize the block period or, equivalently, maximize the system throughput, and demonstrate the superior performance of our framework via simulations.

Funding

Guangdong Provincial Department of Education, Characteristic Innovation Project No. 2021KTSCX110

History

School

  • Science

Department

  • Computer Science

Published in

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Pages

25 - 30

Source

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2022-05-16

Copyright date

2022

ISBN

9781665426718; 9781665426725

ISSN

2164-7038

eISSN

2694-2941

Language

  • en

Event dates

16th May 2022 - 20th May 2022

Depositor

Dr Alia Asheralieva. Deposit date: 29 May 2024

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC