A Novel Energy Adaptive Neural Network and Deep Q-Learning Network for Improved Energy Efficiency in Dynamic Underwater IoT Environment
Optimizing energy efficiency and communication reliability is essential for an underwater Internet of Things (IoT) network that utilizes hybrid optical-acoustic communication system. The proposed research work has an objective to reduce the energy consumption in a dynamic underwater IoT network by a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11121175/ |
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