Smart underwater pollution detection based on graph-based multi-agent reinforcement learning towards AUV-based network ITS

C Lin, G Han, T Zhang, SBH Shah… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The exploitation/utilization of marine resources and the rapid development of urbanization
along coastal cities result in serious marine pollution, especially underwater diffusion …
被引用次数：22 相关文章 所有 3 个版本

Underwater pollution tracking based on software-defined multi-tier edge computing in 6G-based underwater wireless networks

C Lin, G Han, J Jiang, C Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
The forthcoming 6G networks are expected to provide a vision of overlapping aerial-ground-
underwater wireless networks. Meanwhile, the rapid development of the Internet of …
被引用次数：20 相关文章

Early warning obstacle avoidance-enabled path planning for multi-AUV-based maritime transportation systems

G Han, X Qi, Y Peng, C Lin, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a prototype of the underwater Internet of Things-enabled maritime transportation systems,
multi-Autonomous Underwater Vehicle (AUV)-based Underwater Wireless Networks …
被引用次数：22 相关文章 所有 2 个版本

Distributional soft actor-critic-based multi-AUV cooperative pursuit for maritime security protection

Y Hou, G Han, F Zhang, C Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unauthorized underwater vehicles (UUVs) pose a serious threat to maritime security. To
preserve maritime security, it is essential to pursue these UUVs. The majority of traditional …
被引用次数：2 相关文章

A path planning scheme for AUV flock-based Internet-of-Underwater-Things systems to enable transparent and smart ocean

C Lin, G Han, J Du, Y Bi, L Shu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
As an emergent Internet-of-Underwater-Things (IoUT) system, the underwater wireless
networks (UWNs), especially the autonomous underwater vehicle (AUV)-based UWNs are …
被引用次数：60 相关文章

Deep reinforcement learning based multi-AUVs cooperative decision-making for attack–defense confrontation missions

J Xu, F Huang, D Wu, Y Cui, Z Yan, K Zhang - Ocean Engineering, 2021 - Elsevier
This paper mainly focuses on using deep reinforcement learning (RL) to deal with the
cooperative decision-making problem of multiple Autonomous Underwater Vehicles (multi …
被引用次数：15 相关文章 所有 2 个版本

Task scheduling for distributed AUV network target hunting and searching: An energy-efficient AoI-aware DMAPPO approach

Z Wang, J Du, C Jiang, Z Xia, Y Ren… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
In this article, we aim to design a task scheduling scheme for the underwater multiobjective
task of target hunting and environmental search. A distributed autonomous underwater …
被引用次数：15 相关文章

AI-empowered maritime Internet of Things: A parallel-network-driven approach

T Yang, J Chen, N Zhang - IEEE Network, 2020 - ieeexplore.ieee.org
As one of the key technologies for realizing a fully digitalized world, the Internet of Things
(IoT) requires ubiquitous connections across both land and sea. However, due to lack of …
被引用次数：37 相关文章

Networked and Deep Reinforcement Learning-Based Control for Autonomous Marine Vehicles: A Survey

YL Wang, CC Wang, QL Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous marine vehicles, which provide a platform for the successful implementation of
special tasks, such as maritime rescue, maritime measurement, and dangerous goods …
被引用次数：1 相关文章 所有 2 个版本

Application of improved MobileNet-SSD on underwater sea cucumber detection robot

Y Yao, Z Qiu, M Zhong - 2019 IEEE 4th Advanced Information …, 2019 - ieeexplore.ieee.org
We present an underwater sea cucumber detection method based on improved MobileNet-
SSD (MD-SSD), which is used to improve the serious loss of accuracy of MobileNet-SSD in …
被引用次数：12 相关文章