Asynchronous Localization for Underwater Acoustic Sensor Networks: A Continuous Control Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Asynchronous Localization for Underwater Acoustic Sensor Networks: A Continuous Control Deep Reinforcement Learning Approach

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhou Chengyi¹,Liu Meiqin²^ORCID,Zhang Senlin¹^ORCID,Zheng Ronghao¹^ORCID,Dong Shanling¹,Liu Zhunga³^ORCID

Affiliation:

1. College of Electrical Engineering and the National Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China

2. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China

3. School of Automation, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Joint Fund of Ministry of Education for Pre-research of Equipment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10285371.pdf?arnumber=10285371

Cited by 1 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 Hybrid Localization Algorithm for Underwater Nodes Based on Neural Network and Mobility Prediction;IEEE Sensors Journal;2024-08-15

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