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BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

  • Tanesh Kumar*
  • , Erkki Harjula
  • , Muneeb Ejaz
  • , Ahsan Manzoor
  • , Pawani Porambage
  • , Ijaz Ahmad
  • , Madhusanka Liyanage
  • , An Braeken
  • , Mika Ylianttila
  • *Corresponding author for this work
    • University of Oulu
    • Rovio Entertainment Ltd.
    • University College Dublin
    • Vrije Universiteit Brussel

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

    217 Downloads (Pure)

    Abstract

    Industry 4.0 encompasses a promise of a new industrial revolution in terms of providing secure, intelligent, autonomous and self-adaptive industrial IoT (IIoT) networks. Key industrial applications and systems will be significantly more complex due to the involvement of the vast number of different devices and diverse nature of various stakeholders and service providers. These complex industrial processes, services and applications also have strict requirements in terms of performance - latency in particular - and resource-efficiency, together with high standards for security and trust. In this context, Blockchain and Edge Computing emerge as prominent technologies to address the mentioned essential requirements and to further strengthen the rise of the new era of digitization. The Edge computing paradigm ensures low latency services for IIoT applications while optimizing the network usage, whereas Blockchain provides a decentralized way for ensuring data integrity, trust and security. In this paper, we propose a ‘BlockEdge’ framework that combines these two enabling technologies to address some of the critical issues faced by the current IIoT networks. We verify the feasibility of our approach by evaluating the performance and resource-efficiency of BlockEdge in terms of latency, power consumption and network usage, through simulations against non-Blockchain solution.
    Original languageEnglish
    Pages (from-to)154166-154185
    JournalIEEE Access
    Volume8
    DOIs
    Publication statusPublished - 2020
    MoE publication typeA1 Journal article-refereed

    Funding

    This work was supported in part by the Academy of Finland through the projects Industrial Edge, SecureConnet, WiFiUS: Massive IoT, 6G Flagship Project under Grant 318927, in part by the European Union through the Resilient and Secure Multi-controller Communication Platform for 5G Networks (RESPONSE 5G) under Grant 789658, in part by the Technology Industries of Finland Centennial Foundation through the Edge Computing Enhanced by Artificial Intelligence (MEC-AI) project, and in part by the Jane and Aatos Erkko Foundation.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    2. SDG 12 - Responsible Consumption and Production
      SDG 12 Responsible Consumption and Production

    Keywords

    • blockchain
    • edge computing
    • fog computing
    • cloud computing
    • industrial IoT
    • industry 4.0
    • performance evaluation

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