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Recent Trends and Advances in Underwater Sensor Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 1405

Special Issue Editor


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Guest Editor
School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
Interests: network protocols; wireless; mobile and sensor networks; performance modelling and evaluation of parallel and distributed systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nearly 71 percent of the Earth’s surface is covered by water, mainly oceans (above 95 percent). However, the vast majority of this area is still unexplored. Underwater sensor networks (UWSNs) have recently attracted attention for the support of aquatic applications such as exploration for ocean resources, navigation surveillance, pollution monitoring, disaster prevention, intrusion detection, and military applications. UWSNs have rapidly grown over the last decade and are forecasted for even further growth over the coming years as there still exist many issues that are yet to be addressed. 

In this Special Issue, we aim at dealing with all aspects of UWSNs at various layers, including, but not limited to, the following areas:

  • Underwater acoustic communications;
  • Underwater applications and experiments;
  • New protocols and architectures;
  • Topology control and routing;
  • MAC protocols;
  • Autonomous underwater vehicles for mobile networks;
  • Data gathering using AUVs;
  • Node deployment algorithms;
  • Localization and tracking;
  • Aquatic networked mobile systems;
  • Performance modelling and analysis;
  • Hardware for aquatic sensors and systems.

Dr. Alireza Shahrabi
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. Sensors 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 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 sensor networks
  • routing protocols for UWSNs
  • underwater deployment
  • underwater communications
  • acoustic communications
  • MAC protocols for UWSNs
  • autonomous underwater vehicle (AUV)

Published Papers (1 paper)

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Research

18 pages, 5356 KiB  
Article
Multiple-Input-Multiple-Output Filtered Multitone Time Reversal Acoustic Communications Using Direct Adaptation-Based Turbo Equalization
by Lin Sun and Haisen Li
Sensors 2023, 23(13), 6081; https://doi.org/10.3390/s23136081 - 1 Jul 2023
Cited by 1 | Viewed by 852
Abstract
This paper proposes using direct adaptation (DA)-based turbo equalization in multiple-input-multiple-output (MIMO) filtered multitone (FMT) time reversal (TR) acoustic communications to jointly suppress noise, residual co-channel interference (CCI) and intersymbol interference (ISI) after the TR process. Soft information-based adaptive decision feedback equalization (ADFE) [...] Read more.
This paper proposes using direct adaptation (DA)-based turbo equalization in multiple-input-multiple-output (MIMO) filtered multitone (FMT) time reversal (TR) acoustic communications to jointly suppress noise, residual co-channel interference (CCI) and intersymbol interference (ISI) after the TR process. Soft information-based adaptive decision feedback equalization (ADFE) adjusted according to the recursive expected least squares (RELS) algorithm, including interference cancellation and decoding, is used to construct the DA-based turbo equalization. In the proposed method, soft information is exchanged between soft symbols with soft decisions of decoding iteratively, and interference suppression is proceeded successively and iteratively until the performance is stable. The principle of the proposed method is analyzed, and based on the acoustic channel responses measured in a real experiment, the performance is assessed in relation to that of anther two methods. Compared with the MIMO-FMT TR underwater acoustic communication using interference suppression without error control coding (ECC), the proposed method performs better, benefitting from the ECC included in turbo equalization. Additionally, compared with the MIMO-FMT TR underwater acoustic communication using interference suppression based on hard decision equalization and decoding, the proposed method exhibits superior performance by exploiting soft information. Full article
(This article belongs to the Special Issue Recent Trends and Advances in Underwater Sensor Networks)
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