Underwater Acoustic Communication and Network, 2nd Edition

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 (15 July 2024) | Viewed by 4995

Special Issue Editors


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Guest Editor
College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China
Interests: underwater acoustic communication and network; UWA channel estimation
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Special Issue Information

Dear Colleagues,

In recent years, rapidly increasing interests have been garnered by underwater acoustic communication and network from the academic community and industry, accompanied by the continuous emergence of hot topics and frontiers. Since its launch in August 2023, the Special Issue “Underwater Acoustic Communication and Network” has published 13 papers in the field of underwater acoustic channel estimation and equalization, network MAC and routing, modem design, and simulation. Based on its successful release, the 2nd Edition of this Special Issue aims to further promote discussion, cooperation, dissemination, and exploration on the exciting progress and highlights in underwater acoustic communication and network.

High-quality papers are encouraged for publication, particularly those directly related to various aspects mentioned below. Furthermore, novel techniques of study are encouraged.

  • Underwater acoustic communication and network;
  • Channel estimation and equalization;
  • Modulation and demodulation;
  • Encoding and decoding;
  • MAC and routing protocol;
  • Ad hoc network;
  • Modem design and implementation;
  • Underwater unmanned platform;
  • Simulation and experimentation;
  • Deep learning-driven underwater acoustic communication.

Prof. Dr. Feng Tong
Dr. Mayorkinos Papaelias
Guest Editors

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Keywords

  • multipath
  • doppler
  • underwater acoustic channel
  • network protocol
  • MAC
  • deep learning

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Related Special Issues

Published Papers (4 papers)

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Research

17 pages, 6781 KiB  
Communication
An Iterative Orthogonal Frequency Division Multiplexing Receiver with Sequential Inter-Carrier Interference Canceling Modified Delay and Doppler Profiler for an Underwater Multipath Channel
by Suguru Kuniyoshi, Shiho Oshiro, Rie Saotome and Tomohisa Wada
J. Mar. Sci. Eng. 2024, 12(10), 1712; https://doi.org/10.3390/jmse12101712 - 27 Sep 2024
Cited by 1 | Viewed by 1012
Abstract
In 2023, we proposed the modified delay and Doppler profiler (mDDP) as an inter-carrier interference (ICI) countermeasure for underwater acoustic orthogonal frequency division multiplexing (OFDM) mobile communications in a multipath environment. However, the performance improvement in the computer simulation and pool experiments was [...] Read more.
In 2023, we proposed the modified delay and Doppler profiler (mDDP) as an inter-carrier interference (ICI) countermeasure for underwater acoustic orthogonal frequency division multiplexing (OFDM) mobile communications in a multipath environment. However, the performance improvement in the computer simulation and pool experiments was not significant. In a subsequent study, the accuracy of the channel transfer function (CTF), which is the input for the mDDP channel parameter estimation, was considered insufficient. Then a sequential ICI canceling mDDP was devised. This paper presents simulations of underwater OFDM communications using an iterative one- to three-step mDDP. The non-reflective pool experiment conditions are a two-wave multipath environment where the receiving transducer moves at a speed of 0.25 m/s and is subjected to a Doppler shift in the opposite direction. As NumCOL, the number of taps in the multitap equalizer which removes ICI, was increased, the bit error rate (BER) of 0.0526661 at NumCOL = 1 was significantly reduced by a factor of approximately 45 to a BER of 0.0011655 at NumCOL = 51 for the sequential ICI canceling mDDP. Full article
(This article belongs to the Special Issue Underwater Acoustic Communication and Network, 2nd Edition)
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16 pages, 9407 KiB  
Article
Direct Adaptive Multi-Resampling Turbo Equalizer for Underwater Acoustic Single-Carrier Communication
by Zehua Lin, Lei Wang, Cong Peng and Shuhao Zhang
J. Mar. Sci. Eng. 2024, 12(8), 1271; https://doi.org/10.3390/jmse12081271 - 29 Jul 2024
Viewed by 1166
Abstract
A wideband Doppler Effect is a significant challenge for underwater acoustic communications (UAC). This paper proposes a new two-stage structure of direct adaptive multi-resampling turbo equalizer (DAM-TEQ) for solving the problem of large timescale errors in time-varying channels, which uses an innovative adaptive [...] Read more.
A wideband Doppler Effect is a significant challenge for underwater acoustic communications (UAC). This paper proposes a new two-stage structure of direct adaptive multi-resampling turbo equalizer (DAM-TEQ) for solving the problem of large timescale errors in time-varying channels, which uses an innovative adaptive time-domain resampling method for Doppler estimation and compensation. In this equalizer, the received signal is first fed into the first-stage structure, in which an adaptive resampling is performed using equalization coefficient detection to achieve a Doppler rough estimation. After the processing is completed, it is fed into the second-stage structure for joint equalization and decoding, effectively reducing the error of information transmission. Compared with the conventional turbo equalizer (TEQ) based on timescale estimation, the proposed equalizer can avoid the problem of the Doppler Effect not being accurately estimated in time-varying channels, with only a slight increase in complexity. Simulations and lake trails show that the equalizer can effectively perform a Doppler estimation and compensation in time-varying channels, and has a better bit error rate (BER) performance than the traditional timescale-based TEQ. Full article
(This article belongs to the Special Issue Underwater Acoustic Communication and Network, 2nd Edition)
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22 pages, 377 KiB  
Article
Node Load and Location-Based Clustering Protocol for Underwater Acoustic Sensor Networks
by Haodi Mei, Haiyan Wang, Xiaohong Shen, Zhe Jiang, Yongsheng Yan, Lin Sun and Weiliang Xie
J. Mar. Sci. Eng. 2024, 12(6), 982; https://doi.org/10.3390/jmse12060982 - 11 Jun 2024
Cited by 2 | Viewed by 1051
Abstract
Clustering protocols for underwater acoustic sensor networks (UASNs) have gained widespread attention due to their importance in reducing network complexity. Congestion occurs when the intra-cluster load is greater than the upper limit of the intra-cluster information transmission capacity, which leads to a dramatic [...] Read more.
Clustering protocols for underwater acoustic sensor networks (UASNs) have gained widespread attention due to their importance in reducing network complexity. Congestion occurs when the intra-cluster load is greater than the upper limit of the intra-cluster information transmission capacity, which leads to a dramatic deterioration of network performance despite the reduction of network complexity. To avoid congestion, we propose a node load and location-based clustering protocol for UASNs (LLCP). First, a node load and location-based optimization mechanism is proposed. The number of cluster members is optimized based on node load and location to maximize the number of cluster members while avoiding congestion. Then, a node degree and location-based cluster member selection mechanism is proposed to select the optimal cluster members. Finally, a priority-based clustering mechanism is proposed. The node clustering order is adjusted based on the clustering priority to maximize the reduction of network complexity by increasing the average number of cluster members. Simulation results show that our proposed LLCP minimizes the network complexity while avoiding congestion. Full article
(This article belongs to the Special Issue Underwater Acoustic Communication and Network, 2nd Edition)
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11 pages, 1949 KiB  
Article
Chaotic Phase Modulation Direct-Sequence Spread Spectrum-Assisted Adaptive Serial Cancellation List Decoding Method for Underwater Acoustic Communication
by Yuan Sun, Danyang Hong, Dong Liu and Jinyu Lei
J. Mar. Sci. Eng. 2024, 12(6), 948; https://doi.org/10.3390/jmse12060948 - 5 Jun 2024
Viewed by 1031
Abstract
Addressing the challenges of high decoding latency, reduced spectral efficiency, and substantial storage requirements in a Cyclic Redundancy Check (CRC)Aided Successive Cancellation List (CA-SCL) polar decoder, this paper proposes a chaotic phase modulation direct-sequence spread spectrum (CPMDSSS)-assisted adaptive serial cancellation list decoding method [...] Read more.
Addressing the challenges of high decoding latency, reduced spectral efficiency, and substantial storage requirements in a Cyclic Redundancy Check (CRC)Aided Successive Cancellation List (CA-SCL) polar decoder, this paper proposes a chaotic phase modulation direct-sequence spread spectrum (CPMDSSS)-assisted adaptive serial cancellation list decoding method for underwater acoustic communication. The method involves segmenting the information bits to be transmitted, computing CRC for each segment, and mapping all CRCs to a CPMDSSS, which is then modulated onto the pilot subcarriers of underwater acoustic orthogonal frequency-division multiplexing (OFDM) to increase spectral efficiency. At the receiving end, CRCs are obtained by demodulating the CPMDSSS to verify the segmented information and adaptively select the number of decoding paths. The theoretical analysis and simulation results demonstrate that compared to CA-SCL, the proposed method effectively reduces the required storage units and improves spectral efficiency, with an average reduction of approximately 80% in the decoding paths. Sea trials further indicate that the proposed method reduces the average decoding paths by approximately 71% and decreases the average decoding delay by approximately 64% compared to CA-SCL. Full article
(This article belongs to the Special Issue Underwater Acoustic Communication and Network, 2nd Edition)
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