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A Multi-Layer Feedback System Approach to Resilient Connectivity of Remotely Deployed Mobile Internet of Things

  • Published:2018-06 Issue:2 Volume:4 Page:422-432
  • ISSN:2332-7731
  • Container-title:IEEE Transactions on Cognitive Communications and Networking
  • language:
  • Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Farooq Muhammad JunaidORCID,Zhu Quanyan

Funder

DHS grant through Critical Infrastructure Resilience Institute (CIRI)

National Science Foundation

U.S. Department of Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks;IEEE Internet of Things Journal;2024

2. A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. Empowering Smart Environments: Dynamic Beamforming for Optimal TUAV Coverage in B5G Networks;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

4. Optimal 3D Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks Using Reinforcement Learning;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25

5. A Comprehensive Study on Energy Efficient-Cluster Based Routing Protocols in the Internet of Things: Hierarchical Routing Protocol;Jordan Journal of Electrical Engineering;2023
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