Reinforcement Learning-Based Data Forwarding in Underwater Wireless Sensor Networks with Passive Mobility

Reinforcement Learning-Based Data Forwarding in Underwater Wireless Sensor Networks with Passive Mobility

Data forwarding for underwater wireless sensor networks has drawn large attention in the past decade. Due to the harsh underwater environments for communication, a major challenge of Underwater Wireless Sensor Networks (UWSNs) is the timeliness. Furthermore, underwater sensor nodes are energy constr...

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Bibliographic Details
Main Authors: Haotian Chang, Jing Feng, Chaofan Duan
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
underwater wireless sensor networks
data forwarding
value of information
energy consumption
passive mobility
reinforcement learning
Online Access:http://www.mdpi.com/1424-8220/19/2/256

Internet

http://www.mdpi.com/1424-8220/19/2/256

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