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SOBC: A Smart Ocean Oriented Blockchain System for Cross-organizational Data Sharing

  • Yuchen Tian
  • , Yansong Wang
  • , Weiguo Tian
  • , Haiwen Du
  • , Xiaofang Li
  • , Dongjie Zhu*
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • School of Astronautics, Harbin Institute of Technology
  • Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The refinement of the division of labor among organizations in the field of ocean exploration has made the cross-organizational data sharing a common phenomenon. Although the blockchain system can solve the trust problem among organizations, the unstable Underwater Wireless Sensor Network (UWSN) and high network traffic costs of satellite network hindered the application of blockchain in the smart ocean. In this paper, we propose the smart ocean blockchain architecture (SOBC) that supports high transaction concurrency and saves network traffic to achieve trusted cross-organizational data sharing in the ocean exploration field. First, we design the SOBC architecture and use channels to isolate different businesses to ensure data privacy and high transaction concurrency. Second, we design blockchain smart contracts to implement data transmission rules among regulatory agencies, data providers and data demanders to achieve trusted data sharing. Finally, we design a channel-based consistency protocol to reduce the network traffic consumption when nodes reconnect to the core network. We use data collected from the spectrum detection platform to verify the effect of SOBC by simulating the ocean exploration network conditions. The experimental results show that the SOBC is superior to the Ethereum-based blockchain architecture in transactions concurrency supporting. Besides, compared with Ethereum, the SOBC reduces network traffic consumption by 70% under unstable network conditions.

Original languageEnglish
Title of host publicationData Mining and Big Data - 6th International Conference, DMBD 2021, Proceedings
EditorsYing Tan, Yuhui Shi, Albert Zomaya, Hongyang Yan, Jun Cai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages250-262
Number of pages13
ISBN (Print)9789811675010
DOIs
StatePublished - 2021
Externally publishedYes
Event6th International Conference on Data Mining and Big Data, DMBD 2021 - Guangzhou, China
Duration: 20 Oct 202122 Oct 2021

Publication series

NameCommunications in Computer and Information Science
Volume1454 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th International Conference on Data Mining and Big Data, DMBD 2021
Country/TerritoryChina
CityGuangzhou
Period20/10/2122/10/21

Keywords

  • Blockchain
  • Cross-organizational data sharing
  • Internet of underwater things
  • Ocean exploration
  • Smart ocean
  • Underwater wireless sensor network

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