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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Principais autores:	Enhong Liu, Rongxi He, Xiaojing Chen, Cunqian Yu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-02-01
Serija:	Sensors
Teme:	Media Access Control (MAC) protocol hybrid optical-acoustic underwater sensor networks heterogeneous networks deep reinforcement learning
Online dostop:	https://www.mdpi.com/1424-8220/22/4/1628
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