Reinforcement learning-based multi-objective energy-efficient task scheduling in fog-cloud industrial IoT-based systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09159-9.pdf
Reference42 articles.
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3. Abdulzahra AMK, Al-Qurabat AKM, Abdulzahra SA (2023) Optimizing energy consumption in WSN-based IoT using unequal clustering and sleep scheduling methods. Internet of Things 22:100765
4. Ahmed U, Lin JCW, Srivastava G (2022) Heterogeneous energy-aware load balancing for industry 4.0 and IoT environments. ACM Trans Manag Inform Syst (TMIS) 13(4):1–23
5. Alsharif MH, Jahid A, Kelechi AH, Kannadasan R (2023) Green IoT: a review and future research directions. Symmetry 15(3):757
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