Deep Reinforcement Learning Based Optical and Acoustic Dual Channel Multiple Access in Heterogeneous Underwater Sensor Networks

In this paper, we investigate how to efficiently utilize channel bandwidth in heterogeneous hybrid optical and acoustic underwater sensor networks, where sensor nodes adopt different Media Access Control (MAC) protocols to transmit data packets to a common relay node on optical or acoustic channels....

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Detalles Bibliográficos
Autores principales: Liu, Enhong, He, Rongxi, Chen, Xiaojing, Yu, Cunqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880241/
https://www.ncbi.nlm.nih.gov/pubmed/35214530
http://dx.doi.org/10.3390/s22041628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880241/
https://www.ncbi.nlm.nih.gov/pubmed/35214530
http://dx.doi.org/10.3390/s22041628

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