AUV-Assisted Node Repair for IoUT Relying on Multiagent Reinforcement Learning-Reference-Cited by-同舟云学术

AUV-Assisted Node Repair for IoUT Relying on Multiagent Reinforcement Learning

Author:

Wang Ziyuan¹^ORCID,Zhang Zekai²,Wang Jingjing³^ORCID,Jiang Chunxiao⁴^ORCID,Wei Wei²^ORCID,Ren Yong¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Tsinghua University, Beijing, China

2. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

3. School of Cyber Science and Technology, Beihang University, Beijing, China

4. Tsinghua Space Center, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Young Elite Scientist Sponsorship Program by the China Association for Science and Technology

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Project “The Verification Platform of Multitier Coverage Communication Network for Oceans (LZC0020)” of Peng Cheng Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference41 articles.

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