Reinforcement Learning-Based Opportunistic Routing Protocol using Depth Information for Energy-efficient Underwater Wireless Sensor Networks

An efficient routing protocol is critical for the data transmission of Underwater Wireless Sensor Networks (UWSNs). Aiming to the problem of void region in UWSNs, this paper proposes a reinforcement learning-based opportunistic routing protocol (DROR). By considering the limited energy and underwate...

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Bibliographic Details

Published in:	IEEE sensors journal Vol. 23; no. 15; p. 1
Main Authors:	Wang, Chao, Shen, Xiaohong, Wang, Haiyan, Zhang, Hongwei, Mei, Haodi
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Data transmission opportunistic routing Q learning Routing (telecommunications) routing protocol Underwater underwater wireless sensor networks void region Wireless sensor networks
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
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