Cybertwin-driven Resource Provisioning for IoE Applications at 6G-enabled Edge Networks

dc.contributor.author Adhikari, Mainak
dc.contributor.author Munusamy, Ambigavathi
dc.contributor.author Kumar, Neeraj
dc.contributor.author Srirama, Satish Narayana
dc.date.accessioned 2022-03-27T06:03:30Z
dc.date.available 2022-03-27T06:03:30Z
dc.date.issued 2021-01-01
dc.description.abstract Cybertwin leverages the capabilities of networks and serves in multiple functionalities, by identifying digital records of activities of humans and things, from the Internet of Everything (IoE) applications. Cybertwin emerges as a promising solution along with next-generation communication networks, i.e., 6G technology, however, it increases additional challenges at the edge networks. Motivated by the above-mentioned perspectives, in this paper, we introduce a new cybertwin-driven edge framework using 6G-enabled technology with an intelligent service provisioning strategy, for supporting a massive scale of IoE applications. The proposed strategy distributes the incoming tasks from IoE applications using the Deep Reinforcement Learning technique based on their dynamic service requirements. Besides that, an Artificial Intelligence-driven technique, i.e., the Support Vector Machines (SVM) classifier model is applied at the edge network to analyze the data and achieve high accuracy. The simulation results over the real-time financial datasets demonstrate the effectiveness of the proposed service provisioning strategy and SVM model over the baseline algorithms in terms of various performance metrics. The proposed strategy reduces the energy consumption by 15% over the baseline algorithms, while increasing the prediction accuracy by 12% over the classification models.
dc.identifier.citation IEEE Transactions on Industrial Informatics
dc.identifier.issn 15513203
dc.identifier.uri 10.1109/TII.2021.3096672
dc.identifier.uri https://ieeexplore.ieee.org/document/9484724/
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/9224
dc.subject 6G mobile communication
dc.subject 6G networks
dc.subject Computational modeling
dc.subject Cybertwin
dc.subject Data analytics
dc.subject Edge Computing
dc.subject Energy consumption
dc.subject Internet-ofEverything
dc.subject Real-time systems
dc.subject Resource provisioning
dc.subject Servers
dc.subject Support vector machines
dc.subject Task analysis
dc.title Cybertwin-driven Resource Provisioning for IoE Applications at 6G-enabled Edge Networks
dc.type Journal. Article
dspace.entity.type
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