ECRKQ: Machine Learning-Based Energy-Efficient Clustering and Cooperative Routing for Mobile Underwater Acoustic Sensor Networks

ECRKQ: Machine Learning-Based Energy-Efficient Clustering and Cooperative Routing for Mobile Underwater Acoustic Sensor Networks

The dynamic topology, narrow transmission bandwidth, and limited energy of sensor nodes in mobile underwater acoustic sensor networks (UASNs) pose challenges to design an efficient and robust network for underwater communications. In this paper, we propose a novel machine learning-based clustering a...

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Bibliographic Details
Main Authors: Jianying Zhu, Yougan Chen, Xiang Sun, Jianming Wu, Zhenwen Liu, Xiaomei Xu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
K-means
Q-learning
cooperative communications
clustering and routing
underwater acoustic communications
Online Access:https://ieeexplore.ieee.org/document/9425498/

Internet

https://ieeexplore.ieee.org/document/9425498/

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