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Electronics
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Advanced Underwater Acoustic Systems for UASNs
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Advanced Underwater Acoustic Systems for UASNs

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 7404

Special Issue Editors

Dr. Yishan Su

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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
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. Wentao Shi

E-Mail Website
Guest Editor
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Interests: underwater signal and information processing; array signal processing
Dr. Lina Pu

E-Mail Website
Guest Editor
Department of Computer Science, University of Alabama, Tuscaloosa, AL 35487, USA
Interests: IoT; edge computing; network security

Special Issue Information

Dear Colleagues,

In the context of deeply exploiting marine resources, underwater acoustic sensor networks (UASNs) have been widely applied and drawn great attention. However, given the harsh underwater environment, the design and deployment of UASNs present great challenges. In recent decades, advances in the theory and application of underwater acoustic communication systems and underwater acoustic networks have been made in different research fields, such as high-speed underwater acoustic communication, efficient MAC and routing design, advanced underwater platforms, etc.

This Special Issue will focus on research related to the underwater acoustic communications and underwater sensor networks. Moreover, submissions on practical applications and simulations in different environments of the applications are also strongly encouraged in this Special Issue. The purpose of this Special Issue is to solicit original research papers on all aspects of UASNs, including but not limited to:

  • Design and implementation of underwater communication systems;
  • Protocol design and implementation of UASNs;
  • Deployment scheme for UASNs;
  • Underwater multisource sensor data collection and fusion;
  • Underwater network optimization and resource allocation;
  • Localization and synchronization in UASNs;
  • Underwater channel modeling.

Dr. Yishan Su
Dr. Lei Wan
Dr. Wentao Shi
Dr. Lina Pu
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.

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Published Papers (3 papers)

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Research

15 pages, 3812 KiB  
Article
Energy-Efficient Multiple Autonomous Underwater Vehicle Path Planning Scheme in Underwater Sensor Networks
by Yangfan Cui, Peibin Zhu, Guowei Lei, Peng Chen and Guangsong Yang
Electronics 2023, 12(15), 3321; https://doi.org/10.3390/electronics12153321 - 3 Aug 2023
Cited by 10 | Viewed by 1952
Abstract
The issue of limited energy resources is crucial for underwater wireless sensor networks (UWSNs) because these networks operate in remote and harsh environments where access to power sources is limited. Overcoming the energy constraints is necessary to ensure the long-term functionality and sustainability [...] Read more.
The issue of limited energy resources is crucial for underwater wireless sensor networks (UWSNs) because these networks operate in remote and harsh environments where access to power sources is limited. Overcoming the energy constraints is necessary to ensure the long-term functionality and sustainability of UWSN, enabling continuous data collection and communication for various applications such as environmental monitoring and surveillance. To solve the problems of limited energy and the difficulty of battery replacement in UWSN, a path planning and energy-saving scheme for charging underwater sensor nodes using AUVs (autonomous underwater vehicles) is proposed. Applying multiple AUVs to charge the sensing network nodes will maximize the size of the underwater sensing network as well as meet the transmission reliability, and the optimal path of AUVs is solved by using a genetic algorithm. Simulation results show that the AUV path planning scheme convergence is faster than that of conventional algorithms, and the lifetime of UWSN is prolonged while energy balancing according to the network size and node density. In high-density networks, the average energy consumption generated by AUVs for exploration is reduced by 15 percent for each additional AUV with our path planning. Full article
(This article belongs to the Special Issue Advanced Underwater Acoustic Systems for UASNs)
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11 pages, 2989 KiB  
Article
End-to-End Underwater Acoustic Communication Based on Autoencoder with Dense Convolution
by Fangtong Xie, Yunan Zhu, Biao Wang, Wu Wang and Pian Jin
Electronics 2023, 12(2), 253; https://doi.org/10.3390/electronics12020253 - 4 Jan 2023
Cited by 4 | Viewed by 2465
Abstract
To address the problems of the high complexity and poor bit error rate (BER) performance of traditional communication systems in underwater acoustic environments, this paper incorporates the theory of deep learning into a conventional communication system and proposes data-driven underwater acoustic filter bank [...] Read more.
To address the problems of the high complexity and poor bit error rate (BER) performance of traditional communication systems in underwater acoustic environments, this paper incorporates the theory of deep learning into a conventional communication system and proposes data-driven underwater acoustic filter bank multicarrier (FBMC) communications based on convolutional autoencoder networks. The proposed system is globally optimized by two one-dimensional convolutional (Conv1D) modules at the transmitter and receiver, it realizes signal reconstruction through end-to-end training, it effectively avoids the inherent imaginary interference of the system, and it improves the reliability of the communication system. Furthermore, dense-block modules are constructed between Conv1D layers and are connected across layers to achieve feature reuse in the network. Simulation results show that the BER performance of the proposed method outperforms that of the conventional FBMC system with channel equalization algorithms such as least squares (LS) estimation and virtual time reversal mirrors (VTRM) under the measured channel conditions at a certain moment in the Qingjiang River. Full article
(This article belongs to the Special Issue Advanced Underwater Acoustic Systems for UASNs)
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25 pages, 5452 KiB  
Article
Trust-Based Beacon Node Localization Algorithm for Underwater Networks by Exploiting Nature Inspired Meta-Heuristic Strategies
by Umar Draz, Muhammad Hasanain Chaudary, Tariq Ali, Abid Sohail, Muhammad Irfan and Grzegorz Nowakowski
Electronics 2022, 11(24), 4131; https://doi.org/10.3390/electronics11244131 - 11 Dec 2022
Cited by 4 | Viewed by 1562
Abstract
Conventional underwater technologies were not able to provide authentication and proper visualization of unexplored ocean areas to accommodate a wide range of applications. The aforesaid technologies face several challenges including decentralization, beacon node localization (for identification of nodes), authentication of Internet of Underwater [...] Read more.
Conventional underwater technologies were not able to provide authentication and proper visualization of unexplored ocean areas to accommodate a wide range of applications. The aforesaid technologies face several challenges including decentralization, beacon node localization (for identification of nodes), authentication of Internet of Underwater Things (IoUTs) objects and unreliable beacon node communication between purpose oriented IoT-enabled networks. Recently, new technologies such as blockchain (BC) and the IoUTs have been used to reduce the issues but there are still some research gaps; for example, unreliable beacon messages for node acquisition have significant impacts on node identification and localization and many constrained node resources, etc. Further, the uncertainty of acoustic communication and the environment itself become problems when designing a trust-based framework for the IoUTs. In this research, a trust-based hybrid BC-enabled beacon node localization (THBNL) framework is proposed to employ a secure strategy for beacon node localization (BNL) to mine the underwater localized nodes via the hybrid blockchain enabled beacon node localization (HB2NL) algorithm. This framework helps to merge two disciplines; it is hybrid because it follows the nature and bio inspired meta heuristics algorithms for scheduling the beacon nodes. The performance of the proposed approach is also evaluated for different factors such as node losses, packet delivery ratios, residual and energy consumption and waiting time analysis, etc. These findings show that the work done so far has been successful in achieving the required goals while remaining within the system parameters. Full article
(This article belongs to the Special Issue Advanced Underwater Acoustic Systems for UASNs)
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