Value-based multi-agent deep reinforcement learning for collaborative computation offloading in internet of things networks-Reference-Cited by-同舟云学术

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Value-based multi-agent deep reinforcement learning for collaborative computation offloading in internet of things networks

Published:2023-11-09 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Li Han^ORCID,Meng Shunmei,Shang Jing,Huang Anqi,Cai Zhicheng

Funder

National Natural Science Foundation of China

the Open Research Project of State Key Laboratory of Novel Software Technology

the National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-023-03553-9.pdf

Reference28 articles.

1. Ren, J., Hou, T., Wang, H., Tian, H., Wei, H., Zheng, H., & Zhang, X. (2021). Collaborative task offloading and resource scheduling framework for heterogeneous edge computing. Wireless Networks. https://doi.org/10.1007/s11276-021-02768-y

2. Yang, L., Zou, Y., Xu, M., Xu, Y., Yu, D., & Cheng, X. (2022). Distributed Consensus for blockchains in Internet-of-Things networks. Tsinghua Science and Technology, 27(5), 817–831.

3. Xu, X., Gu, J., Yan, H., Liu, W., Qi, L., & Zhou, X. (2023). Reputation-aware supplier assessment for blockchain-enabled supply chain in industry 4.0. IEEE Transactions on Industrial Informatics, 19(4), 5485–5494.

4. Qi, L., Yang, Y., Zhou, X., Rafique, W., & Ma, J. (2022). Fast anomaly identification based on multi-aspect data streams for intelligent intrusion detection toward secure industry 4.0. IEEE Transactions on Industrial Informatics, 18(9), 6503–6511.

5. Wu, S., Shen, S., Xu, X., Chen, Y., Zhou, X., Liu, D., Xue, X., & Qi, L. (2022). Popularity-aware and diverse web APIs recommendation based on correlation graph. IEEE Transactions on Computational Social Systems, 10(2), 771–782.

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