Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452
Reference
- Zhou, S.; Jadoon, W.; Khan, I.A. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. [Google Scholar] [CrossRef]
Algorithm | Ref. | Granularities | Objective | Research Contents |
---|---|---|---|---|
GWO | [35] | Full offloading | Delay & energy | Used GWO’s natural heuristic approach to achieve optimal solutions |
ACO | [36] | Partial offloading | Energy | Proposed QoS based resource allocation and scheduling has used swarm-based ant colony optimization provide more predictable results |
GA | [37] | Partial offloading | Energy | Proposed an adaptive particle swarm optimization algorithm based on genetic algorithm operator |
Q-Learning | [38] | Partial offloading | Delay | Proposed a deep Q-learning based autonomic management framework |
DRL | [39] | Partial offloading | Delay | Proposed a new DRL-based online computing offloading scheme that considers both blockchain data mining tasks and data processing tasks |
FL & DRL | [40] | Partial offloading | Delay & energy | Proposed FL-combined DRL to optimize the computational offloading scheme and edge content cache in MEC system and adopt DDQN method |
FL | [41] | Partial offloading | Delay & energy | Proposed a FL-based approach to train preference models while retaining user data on their personal devices |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Zhou, S.; Jadoon, W.; Khan, I.A. Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. Electronics 2025, 14, 3751. https://doi.org/10.3390/electronics14193751
Zhou S, Jadoon W, Khan IA. Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. Electronics. 2025; 14(19):3751. https://doi.org/10.3390/electronics14193751
Chicago/Turabian StyleZhou, Shuchen, Waqas Jadoon, and Iftikhar Ahmed Khan. 2025. "Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452" Electronics 14, no. 19: 3751. https://doi.org/10.3390/electronics14193751
APA StyleZhou, S., Jadoon, W., & Khan, I. A. (2025). Correction: Zhou et al. Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions. Electronics 2023, 12, 2452. Electronics, 14(19), 3751. https://doi.org/10.3390/electronics14193751