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A Tensor-Train-Based P2Blockchain for Internet of Things Services

  • Xiaokang Wang
  • , Laurence T. Yang
  • , Dongdong Huo*
  • , Lei Ren
  • , M. Jamal Deen
  • *Corresponding author for this work
  • Hainan University
  • Saint Francis Xavier University
  • Zhengzhou University
  • CAS - Institute of Information Engineering
  • University of Chinese Academy of Sciences
  • McMaster University

Research output: Contribution to journal › Article › peer-review

Abstract

Internet of Things (IoT), is the comprehensive interconnection systems of computational, networking, and physical devices with the important goal of providing proactive and personalized services efficiently. The foundation of such services is big data integration and processing among various devices, which brings important challenges, including data fusion, transferring, and sharing of computational results. On the other hand, decentralized blockchain platforms provide novel technologies for reliable IoT data integration and processing. In addition, to facilitate decentralization and distribution of IoT big data, tensor-Train (TT), as a tensor decomposition method, can play a vital role. Therefore, in this article, a TT-based Permissioned-Private (P {2}) blockchain is proposed to realize the organization, integration, sharing, and applications of IoT data for intelligent IoT services. To demonstrate the performance of the proposed method, case studies with IoT data are carried out on the permissioned-private chain platform to measure its performance.

Original languageEnglish
Pages (from-to)19394-19405
Number of pages12
JournalIEEE Internet of Things Journal
Volume11
Issue number11
DOIs
StatePublished - 1 Jun 2024

Keywords

  • Big data
  • Internet of Things (IoT)
  • Permissioned-Private (P²) blockchain
  • tensor-Train (TT)

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