A comprehensive survey of energy-efficient MAC and routing protocols for underwater wireless sensor networks

ZU Khan, Q Gang, A Muhammad, M Muzzammil… - Electronics, 2022 - mdpi.com
Underwater wireless sensor networks (UWSNs) have become highly efficient in performing
different operations in oceanic environments. Compared to terrestrial wireless sensor …

Blockchain for unmanned underwater drones: Research issues, challenges, trends and future directions

A Kumar, NJ Ahuja, M Thapliyal, S Dutt, T Kumar… - Journal of Network and …, 2023 - Elsevier
Two-thirds of the earth's surface is surrounded by water and the majority of it is still
unexplored. The underwater monitoring of the oceans and their surroundings is highly …

[HTML][HTML] Energy harvesting techniques for sustainable underwater wireless communication networks: A review

O Alamu, TO Olwal, K Djouani - e-Prime-Advances in Electrical …, 2023 - Elsevier
The emergence of various underwater wireless communication systems has been on the
rise due to increasing human activities in the marine environment. In underwater wireless …

Communication-efficient and collision-free motion planning of underwater vehicles via integral reinforcement learning

J Yan, W Cao, X Yang, C Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Motion planning of underwater vehicles is regarded as a promising technique to make up
the flexibility deficiency of underwater sensor networks (USNs). Nonetheless, the unique …

Game of drones: Intelligent online decision making of Multi-UAV confrontation

D Liu, Q Zong, X Zhang, R Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the characteristics of the small size and low cost of unmanned aerial vehicles (UAVs),
Multi-UAV confrontation will play an important role in future wars. The Multi-UAV …

Tracking control of AUV via novel soft actor-critic and suboptimal demonstrations

Y Zhang, T Zhang, Y Li, Y Zhuang - Ocean Engineering, 2024 - Elsevier
Tracking control for autonomous underwater vehicles (AUVs) faces multifaceted challenges,
making the acquisition of optimal demonstrations a daunting task. The suboptimal …

CLORP: Cross-Layer Opportunistic Routing Protocol for Underwater Sensor Networks Based on Multi-Agent Reinforcement Learning

S Liu, J Wang, W Shi, G Han, S Yan… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
With the development of the Internet of Underwater Things (IoUT), both academia and
industry have significant emphasized underwater wireless sensor networks (UWSNs). To …

Advances and applications of machine learning in underwater acoustics

H Niu, X Li, Y Zhang, J Xu - Intelligent Marine Technology and Systems, 2023 - Springer
Recent advancements in machine learning (ML) techniques applied to underwater acoustics
have significantly impacted various aspects of this field, such as source localization, target …

A review of artificial neural networks applications in maritime industry

N Assani, P Matić, N Kaštelan, IR Ćavka - IEEE access, 2023 - ieeexplore.ieee.org
Artificial neural networks (ANN) are a data driven tool that has been used for modeling,
prediction, optimization, classification, diagnostics, decision-making, etc., in various systems …

Multi-hop relay selection for underwater acoustic sensor networks: A dynamic combinatorial multi-armed bandit learning approach

J Dai, X Li, S Han, Z Liu, H Zhao, L Yan - Computer Networks, 2024 - Elsevier
An efficient multi-hop relay selection method is the key of multi-hop relay technology to
improve wireless communication reliability. Accordingly, this paper devotes a multi-hop relay …