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Recent Advances in Underwater Acoustic Signal Processing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 861

Special Issue Editor

Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
Interests: underwater imaging system; underwater acoustic signal processing; underwater target classification
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Underwater acoustic signal processing and sonar technology represent a rapidly evolving discipline with an extensive range of applications. The development of underwater acoustic signal processing technology has been driven by significant demand, and has also benefited from the development of big data, artificial intelligence, multi-sensor data fusion technologies and other fields. This Special Issue intends to present novel ideas and experimental results in the design, service, theory and practical use of advanced underwater acoustic signal processing systems.

Areas relevant to underwater acoustic signal processing and sonar technologies include, but are not limited to, the following:

  • Multi-source information fusion technology, Artificial intelligence, machine learning, deep learning in underwater acoustic engineering,
  • Novel algorithms and applications of underwater acoustic signal processing, Underwater communication and sensor networks,
  • Underwater acoustic database technology,
  • Development of underwater detection systems,
  • Underwater imaging systems,
  • Acoustic transducer technology,
  • Multi-source data fusion technology, etc.

Underwater acoustic systems designed for unmanned vehicles and distributed systems are also topics of interest.

Dr. Jie Tian
Guest Editor

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. Applied Sciences 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.

Keywords

  • underwater acoustic communication
  • underwater acoustic imaging
  • underwater sensor networks
  • underwater detection, tracking and classification
  • underwater acoustic transducer
  • array signal processing
  • simulation of underwater environment and sonar systems
  • cross-media communication
  • artificial intelligence in underwater acoustic engineering

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Published Papers (1 paper)

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Research

22 pages, 3309 KiB  
Article
Cross-Layer Routing Protocol Based on Channel Quality for Underwater Acoustic Communication Networks
by Jinghua He, Jie Tian, Zhanqing Pu, Wei Wang and Haining Huang
Appl. Sci. 2024, 14(21), 9778; https://doi.org/10.3390/app14219778 - 25 Oct 2024
Viewed by 570
Abstract
Due to the physical characteristics of acoustic channels, the performance of underwater acoustic communication networks (UACNs) is more susceptible to the impacts of multipath and Doppler effects. Channel quality can serve as a measure of the reliability of underwater communication links. A cross-layer [...] Read more.
Due to the physical characteristics of acoustic channels, the performance of underwater acoustic communication networks (UACNs) is more susceptible to the impacts of multipath and Doppler effects. Channel quality can serve as a measure of the reliability of underwater communication links. A cross-layer routing protocol based on channel quality (CLCQ) is proposed to improve the overall network performance and resource utilization. First, the BELLHOP ray model is used to calculate the channel impulse response combined with the winter sound speed profile data of a specific sea area. Then, the channel impulse response is integrated into the communication system to evaluate the channel quality between nodes based on the bit error rate (BER). Finally, during the selection of the next hop node, a reinforcement learning algorithm is employed to facilitate cross-layer interaction within the protocol stack. The optimal relay node is determined by the channel quality index (BER) from the physical layer, the buffer state from the data link layer, and the node residual energy. To enhance the algorithm’s convergence speed, a forwarding candidate set selection method is proposed which takes into account node depth, residual energy, and buffer state. Simulation results show that the packet delivery rate (PDR) of the CLCQ is significantly higher than that of Q-Learning-Based Energy-Efficient and Lifetime-Extended Adaptive Routing (QELAR) and Geographic and Opportunistic Routing (GEDAR). Full article
(This article belongs to the Special Issue Recent Advances in Underwater Acoustic Signal Processing)
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