BrainIoT: Brain-Like Productive Services Provisioning with Federated Learning in Industrial IoT
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Journal Article
- Citation:
- IEEE Internet of Things Journal, 2021, PP, (99), pp. 1-1
- Issue Date:
- 2021-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| BrainIoT_Brain-Like_Productive_Services_Provisioning_with_Federated_Learning_in_Industrial_IoT.pdf | Published version | 971.74 kB |
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The industrial IoT (IIoT) accommodates a huge number of heterogeneous devices to bring vast services under a distributed computing scenarios. Most productive services in IIoT are closely related to production control and require distributed network support with low delay. However, the resource reservation based on gross traffic prediction ignores the importance of productive services and treats them as ordinary services, so it is difficult to provide stable low delay support for large amounts of productive service requests. For many productions, unexpected communication delays are unacceptable, and the delay may lead to serious production accidents causing great losses, especially when the productive service is securityrelated. In this paper, we propose a brain-like productive service provisioning scheme with federated learning (BrainIoT) for IIoT. The BrainIoT scheme is composed of three algorithms including industrial knowledge graph-based relation mining, federated learning-based service prediction, and globally optimized resource reservation. BrainIoT combines production information into network optimization and utilizes the inter-factory and intrafactory relations to enhance the accuracy of service prediction. The globally optimized resource reservation algorithm suitably reserves resources for predicted services considering various resources. The numerical results show that the BrainIoT scheme utilizes inter-factory relation and intra-factory relation to make an accurate service prediction, which achieves 96% accuracy, and improves the quality of service.
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