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Edge Intelligence and Blockchain Empowered 5G Beyond for the Industrial Internet of Things
Abstract
Edge intelligence is a key enabler for IIoT as it offers smart cloud services in close proximity to the production environment with low latency and less cost. The need for ubiquitous communication, computing, and caching resources in 5G beyond will lead to a growing demand to integrate heterogeneous resources into the edge network. Furthermore, distributed edge services can make resource transactions vulnerable to malicious nodes. Ensuring secure edge services under complex industrial networks is a big challenge. In this article, we present an edge intelligence and blockchain empowered IIoT framework, which achieves flexible and secure edge service management. Then we propose a cross-domain sharing inspired edge resource scheduling scheme and design a credit-differentiated edge transaction approval mechanism. Numerical results indicate that the proposed schemes bring significant improvement in both edge service cost and service capacities.
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Cited by
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT
Lu, Y., Huang, X., Dai, Y., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2942190 · Cited by 1,245
Self-citationBlockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles
Lu, Y., Huang, X., Zhang, K., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2973651 · Cited by 733
Self-citationXu, Y., Gui, G., Gacanin, H., & Adachi, F. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3059896 · Cited by 648
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence
Hao, M., Li, H., Luo, X., Xu, G., Yang, H., & Liu, S. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2945367 · Cited by 569
Lu, Y., Huang, X., Dai, Y., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2942179 · Cited by 387
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Metadata
- Authors
- Zhang, K., Zhu, Y., Maharjan, S., & Zhang, Y.
- Venue
- IEEE Network
- Published
- 2019-09
- Volume
- 33
- Issue
- 5
- Pages
- 12-19
- ISSN
- 0890-8044 (ISSN-L)
- 1558-156X
- OpenAlex
- W2979680647
- Cited by
- 275
- References
- 0
- FWCI
- 24.92
- Type
- journal article
- Language
- en
- Open access
- closed
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