A Q-Learning and Data Priority-Based Routing Protocol with Dynamic Computing Cluster Head for Underwater Acoustic Sensor Networks-Reference-Cited by-同舟云学术

A Q-Learning and Data Priority-Based Routing Protocol with Dynamic Computing Cluster Head for Underwater Acoustic Sensor Networks

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)
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Author:

Tu Shen'Ao¹,Zhu Xiuling¹,Chen Yougan¹,Xu Xiaomei¹

Affiliation:

1. (Xiamen University), Ministry of Education,Key Laboratory of Underwater Acoustic Communication and Marine Information Technology,Xiamen,China,361005

Funder

State Key Laboratory of Robotics

Innovation Fund

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984156/9984215/09984284.pdf?arnumber=9984284

Reference9 articles.

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

2. A Gentle Introduction to Reinforcement Learning

3. Clustering-Based Reinforcement Learning Routing Protocol with Low Complexity for Underwater Acoustic Sensor Networks

4. QELAR: A Machine-Learning-Based Adaptive Routing Protocol for Energy-Efficient and Lifetime-Extended Underwater Sensor Networks;hu;IEEE Trans Mobile Comput,2010

5. A MACA-based power control MAC protocol for Underwater Wireless Sensor Networks

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