BlockEdge : blockchain-edge framework for industrial IoT networks
|Author:||Kumar, Tanesh1; Harjula, Erkki1; Ejaz, Muneeb1;|
1Centre for Wireless Communication, University of Oulu, 90014 Oulu, Finland
2Rovio Entertainment Company, 02150 Espoo, Finland
3VTT Technical Research Centre of Finland, 02044 Espoo, Finland
4School of Computer Science, University College Dublin, Dublin 4, D04 V1W8 Ireland
5Industrial Sciences Department (INDI), Vrije Universiteit Brussel, 1050 Brussels, Belgium
|Online Access:||PDF Full Text (PDF, 3.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020110288970
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-11-02
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.
|Pages:||154166 - 154185|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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 Foundationthrough the Edge Computing Enhanced by Artifcial Intelligence (MEC-AI) project, and in part by the Jane and Aatos Erkko Foundation.
© The Authors 2020. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.