Dual-Q network deep reinforcement learning-based computation offloading method for industrial internet of things
Author:
Funder
Hebei Province Innovation Capability Enhancement Plan project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06425-x.pdf
Reference32 articles.
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2. Xu H, Wu J, Pan Q, Guan X, Guizani M (2023) A survey on digital twin for industrial internet of things: applications, technologies and tools. IEEE Commun Surv Tutor 25(4):2569–2598. https://doi.org/10.1109/COMST.2023.3297395
3. Alabadi M, Habbal A, Wei X (2022) Industrial internet of things: requirements, architecture, challenges, and future research directions. IEEE Access 10:66374–66400. https://doi.org/10.1109/ACCESS.2022.3185049
4. Chalapathi GSS et al (2021) Industrial internet of things (iiot) applications of edge and fog computing: a review and future directions. Fog/edge Comput Secur Privacy Appl 83:293–325
5. Quy NM, Ngoc LA, Ban NT et al (2023) Edge computing for real-time internet of things applications: future internet revolution. Wirel Pers Commun 132(2):1423–1452
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