Multi-Agent Reinforcement Learning-Based Routing Protocol for Underwater Wireless Sensor Networks with Value of Information-Reference-Cited by-同舟云学术

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Multi-Agent Reinforcement Learning-Based Routing Protocol for Underwater Wireless Sensor Networks with Value of Information

Published:2024 Issue: Volume: Page:1-1
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Chao¹,Shen Xiaohong¹^ORCID,Wang Haiyan²^ORCID,Xie Weiliang¹,Zhang Hongwei¹^ORCID,Mei Haodi¹^ORCID

Affiliation:

1. Ministry of Industry and Information Technology, School of Marine Science and Technology and the Key Laboratory of Ocean Acoustics and Sensing, Northwestern Polytechnical University, Xi’an, China

2. School of Marine Science and Technology and the School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/4427201/10376403.pdf?arnumber=10376403

Cited by 2 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. A Routing Algorithm for Underwater Acoustic– Optical Hybrid Wireless Sensor Networks Based on Intelligent Ant Colony Optimization and Energy-Flexible Global Optimal Path Selection;IEEE Sensors Journal;2024-05-15

2. Duty Cycle Scheduling in Wireless Sensor Networks Using an Exploratory Strategy-Directed MADDPG Algorithm;International Journal of Sensors and Sensor Networks;2024-02-28

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