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Development of Theories and Systems in Underwater Communications and Networks
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Development of Theories and Systems in Underwater Communications and Networks

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (5 May 2025) | Viewed by 3757

Special Issue Editors

Dr. Jiang Zhu

E-Mail Website
Guest Editor
Ocean College Zhejiang University, Zhoushan, China
Interests: underwater acoustic communications; signal estimation and detection
Dr. Lei Wan

E-Mail Website
Guest Editor
School of Informatics, Xiamen University, Xiamen, China
Interests: underwater acoustic communications; wireless communications and signal processing
Special Issues, Collections and Topics in MDPI journals
Dr. Yishan Su

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Interests: underwater acoustic sensor networks; secure underwater acoustic communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Underwater communications and networks are key for human beings’ exploration and exploitation of the ocean. In recent years, we have witnessed rapid development in related areas. This Special Issue will compile recent advancements in theory and systems development for underwater communications and networks, for which purpose we present a platform and forum to disseminate state-of-the-art research and trends. Works introducing new concepts, methods, systems, and experimental results are all welcome to be submitted.

The Special Issue topics of interest include but are not limited to:

  • Underwater communications based on acoustic, light, and other media;
  • Underwater networks;
  • Mud pulse telemetry;
  • Newly developed systems in underwater communications and networks;
  • New experimental results in underwater communications and networks;
  • AIfor underwater communications and networks;
  • Securityin underwater communications and networks.

Dr. Jiang Zhu
Dr. Lei Wan
Dr. Yishan Su
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • underwater communications
  • underwater networks
  • mud pulse telemetry
  • development of underwater information systems
  • experimental results

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

16 pages, 2739 KiB  
Article
Channel Shortening-Based Single-Carrier Underwater Acoustic Communications in Impulsive Environment
by Xingbin Tu, Zicheng Li, Yan Wei and Fengzhong Qu
J. Mar. Sci. Eng. 2025, 13(1), 103; https://doi.org/10.3390/jmse13010103 - 7 Jan 2025
Viewed by 740
Abstract
Underwater acoustic (UWA) communication encounters significant challenges, including impulsive noise from breaking waves and marine organisms, as well as long-delay taps caused by ocean properties and high transmission rates. To address these issues, we enhance the channel estimation process by introducing iteratively reweighted [...] Read more.
Underwater acoustic (UWA) communication encounters significant challenges, including impulsive noise from breaking waves and marine organisms, as well as long-delay taps caused by ocean properties and high transmission rates. To address these issues, we enhance the channel estimation process by introducing iteratively reweighted least squares (IRLS) methods and propose an impulsive noise suppression algorithm. Furthermore, we analyze the inter-frequency interference (IFI) resulting from channel variability and implement IFI cancellation (IFIC) during iterative processing. Furthermore, an IFIC-based dual decision–feedback equalization (DDFE) algorithm is proposed for fast time-varying channels, enabling a considerable reduction in channel length and subsequent equalizer complexity. The proposed IFIC-based DDFE algorithm with impulsive noise suppression has been validated through sea trial data, demonstrating robustness against impulsive noise. Experimental results indicate that the proposed algorithm reduces click signal energy and significantly improves receiver performance compared to traditional DDFE algorithms. This research highlights the effectiveness of adapted UWA communication strategies in environments characterized by impulsive noise and long delay taps, facilitating more reliable UWA communication. Full article
(This article belongs to the Special Issue Development of Theories and Systems in Underwater Communications and Networks)
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16 pages, 9890 KiB  
Article
Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform
by Jingchen Zhang, Zitong Sha, Xingbin Tu, Zhujun Zhang, Jiang Zhu, Yan Wei and Fengzhong Qu
J. Mar. Sci. Eng. 2025, 13(1), 75; https://doi.org/10.3390/jmse13010075 - 4 Jan 2025
Viewed by 776
Abstract
Mud pulse telemetry (MPT) systems are widely recognized for their effectiveness and are most commonly used to transmit downhole data to the surface in real time. These data facilitate the drilling process and make it more cost-efficient. In MPT, the mud channel presents [...] Read more.
Mud pulse telemetry (MPT) systems are widely recognized for their effectiveness and are most commonly used to transmit downhole data to the surface in real time. These data facilitate the drilling process and make it more cost-efficient. In MPT, the mud channel presents a challenging communication environment, primarily due to various sources of noises, with pump noise being the most dominant. In this paper, a noise cancellation method based on discrete Fourier transform (DFT) is proposed for demodulation under a low signal-to-noise ratio, eliminating the pump noise generated by two pumps with a single sensor during drilling. The method employs DFT to estimate the noise spectrum, subtracts noises from the received signal, and performs an inverse transformation to reconstruct the original signal estimation. The effectiveness of the proposed method is evaluated through a simulation analysis and field experiments. The simulation results indicate that the major components of multiple pump noises could be successfully eliminated. The field experiment results demonstrate that the demodulation of the received data achieves advanced data rate communication and a low bit error rate (BER) in a 3000 m drilling system. Full article
(This article belongs to the Special Issue Development of Theories and Systems in Underwater Communications and Networks)
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21 pages, 2361 KiB  
Article
System-Level Digital Twin Modeling for Underwater Wireless IoT Networks
by Lei Wang, Lei Yan, Xinbin Li and Song Han
J. Mar. Sci. Eng. 2025, 13(1), 32; https://doi.org/10.3390/jmse13010032 - 29 Dec 2024
Cited by 2 | Viewed by 687
Abstract
Digital Twin (DT) technology is pivotal in advancing smart underwater wireless IoT networks and effectively enhancing capabilities for monitoring and managing aquatic environments. For complex system-level DT models in these networks, assembling multiple unit-level DT models becomes crucial. Federated Learning (FL) presents a [...] Read more.
Digital Twin (DT) technology is pivotal in advancing smart underwater wireless IoT networks and effectively enhancing capabilities for monitoring and managing aquatic environments. For complex system-level DT models in these networks, assembling multiple unit-level DT models becomes crucial. Federated Learning (FL) presents a distributed machine learning paradigm that enables devices within underwater wireless IoT networks to collaboratively refine a DT model. Employing FL for DT modeling (FLDTM) is particularly valuable, as it allows for the enhancement of model accuracy without explicitly sharing local data, thereby preserving data privacy under challenging aquatic conditions. In this article, we propose a secure and efficient multi-server FL framework tailored for underwater wireless systems. We introduce a voting-based security prediction model to significantly bolster security in underwater wireless communication. Moreover, we introduce the network flow problem and employ a minimum-cost flow algorithm to enable FL servers’ cooperation. These strategies are integrated into a smart contract, namely, the UCB-based Smart Contract with a Security Prediction model and Minimum-Cost Flow (UCB-SCPF) policy. Experimental results show that the UCB-SCPF policy-based FLDTM framework achieves model accuracy comparable to ideal conditions while demonstrating excellent performance in terms of training efficiency and security. Additionally, the framework maintains stability as the network scale increases. These findings underscore the potential of the UCB-SCPF policy-based FLDTM framework in advancing DT technology for underwater wireless IoT networks. Full article
(This article belongs to the Special Issue Development of Theories and Systems in Underwater Communications and Networks)
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20 pages, 963 KiB  
Article
A Sub-Channel Spatial Homogeneity-Based Channel Estimation Method for Underwater Optical Densely Arrayed MIMO Systems
by Guojin Peng, Hongbing Qiu, Yanlong Li and Junru Wang
J. Mar. Sci. Eng. 2024, 12(11), 2030; https://doi.org/10.3390/jmse12112030 - 10 Nov 2024
Viewed by 971
Abstract
The limited surface area and structural constraints of small underwater communication devices necessitate a dense placement of transmitting and receiving array elements in optical multiple-input multiple-output (MIMO) systems. The compact layout leads to the formation of sub-channels that exhibit notable spatial correlation and [...] Read more.
The limited surface area and structural constraints of small underwater communication devices necessitate a dense placement of transmitting and receiving array elements in optical multiple-input multiple-output (MIMO) systems. The compact layout leads to the formation of sub-channels that exhibit notable spatial correlation and a tendency toward homogeneity. Although sub-channel spatial homogeneity (SSH) may diminish the communication capacity of MIMO systems, it provides a significant advantage by reducing the pilot overhead. In this study, we exploit the inherent SSH and the natural time-domain sparsity of channel impulse response (CIR) in the underwater optical densely arrayed MIMO (UODA-MIMO) system to propose an innovative SSH-based channel estimation (SSH-CE) method. We model the underwater optical CIR at Gbaud rates and integrate it with SSH characteristics. This approach transforms the reconstruction targets of compressive sensing (CS) from conventional CIR samples to prior CIR model parameters and the fitting residuals of the homogeneous sub-channels, reducing the pilot overhead. The simulation results of photon tracing for UODA-MIMO sub-channels in turbid harbor water indicate a monotonic, exponential decay in CIR at Gbaud rates, with transmission delays exceeding 5 nanoseconds for distances over 8 m. Moreover, the correlation coefficients among sub-channels reach a minimum of 0.975, confirming the presence of SSH in UODA-MIMO systems. In comparison to existing CS methods that rely on known sparsity, sparsity adaptation, and the structural sparsity of MIMO channels, the SSH-CE method achieves a lower degree of sparsity in reconstruction targets and a reduced lower bound for pilot requirements under the SPARK criterion. Specifically, the SSH-CE method achieves a reduction in the pilot overhead for reconstructing Nt sub-channels of K-sparse to 2Nt irrespective of CIR residual compensation. Full article
(This article belongs to the Special Issue Development of Theories and Systems in Underwater Communications and Networks)
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