Reinforcement Learning-Based Opportunistic Routing Protocol Using Depth Information for Energy-Efficient Underwater Wireless Sensor Networks-Reference-Cited by-同舟云学术

Reinforcement Learning-Based Opportunistic Routing Protocol Using Depth Information for Energy-Efficient Underwater Wireless Sensor Networks

Published:2023-08-01 Issue:15 Volume:23 Page:17771-17783
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

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

Affiliation:

1. School of Marine Science and Technology and the Key Laboratory of Ocean Acoustics and Sensing, Ministry of Industry and Information Technology, 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/ielx7/7361/10198840/10154617.pdf?arnumber=10154617

Reference40 articles.

1. A Balanced Routing Protocol Based on Machine Learning for Underwater Sensor Networks

2. Reinforcement Learning-Based Opportunistic Routing Protocol for Underwater Acoustic Sensor Networks

3. Delay-Sensitive Opportunistic Routing for Underwater Sensor Networks