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Special Issue "Intelligent Underwater Systems: Sensing, Communication, Networking and Applications"

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

Deadline for manuscript submissions: 30 September 2019

Special Issue Editor

Guest Editor
Dr. Zheng Peng

Department of Computer Science, NAC 8/203, Grove School of Engineering, City University of New York - City College, 160 Covent Avenue, New York, NY 10031
Website | E-Mail
Interests: Underwater Wireless Sensor Networks; Wireless Networking; Cross-layer Design and Optimization; Localization and Synchronization; Computer Architecture; Embedded System; Operating System; Cyber-Physical System; Autonomous Underwater Vehicle

Special Issue Information

Dear Colleagues,

Following the success of the previous Special Issue on Underwater Sensing, Communication, Networking, and Systems , we are pleased to announce a new Special Issue on Intelligent Underwater Systems: Sensing, Communication, Networking, and Applications. It aims to encourage interdisciplinary and multidisciplinary research at the frontier of intelligent underwater systems.

The strategic significance of the ocean leads has inspired a growing interest in developing effective and efficient sensing, communication, and networking systems for underwater environments. New technology is being developed to meet the increasing need of exploring the mysteries of the deep sea. New research is being conducted to address new challenges posed by unique underwater environments. These efforts can transform the way we understand, explore, and utilize the largely unexplored ocean.

In this Special Issue, we welcome our fellow colleagues to present recent research outcomes in the areas of underwater sensing, communication, networking, and system designs. The topics of interests include, but are not limited to, the following:

  • Underwater sensing technology, including sensor design, sensing algorithms, data mining, data fusion, and dissemination;
  •  Underwater wireless communications, including acoustic, optical, RF, and magneto-inductive;
  • Underwater observatory, including wired and wireless observatory at coastal, regional, and global scales;
  • Underwater wireless networks, including networking theories, protocol designs, and architecture;
  • Underwater robotics, including autonomous underwater vehicles (AUV), underwater remotely operated underwater vehicles (ROV), and underwater unmanned vehicles (UUV);
  • Power harvesting and power systems, including alternative energy sources, renewable energy sources, underwater wireless charging, and low power design;
  • Hardware design, including sensor systems, system integration, prototype, software defined communication, and networking platform;
  • Modeling, simulation, and testbed design;
  • Underwater ranging, localization, and tracking;
  • Underwater cybersecurity and countermeasures;
  • System deployment and network planning;
  • Applications, case studies, field trials, and experiment results.

Dr. Zheng Peng
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 papers will be 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 1800 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.

Published Papers (2 papers)

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Research

Open AccessArticle Visual Navigation for Recovering an AUV by Another AUV in Shallow Water
Sensors 2019, 19(8), 1889; https://doi.org/10.3390/s19081889
Received: 28 February 2019 / Revised: 16 April 2019 / Accepted: 18 April 2019 / Published: 20 April 2019
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Abstract
Autonomous underwater vehicles (AUVs) play very important roles in underwater missions. However, the reliability of the automated recovery of AUVs has still not been well addressed. We propose a vision-based framework for automatically recovering an AUV by another AUV in shallow water. The [...] Read more.
Autonomous underwater vehicles (AUVs) play very important roles in underwater missions. However, the reliability of the automated recovery of AUVs has still not been well addressed. We propose a vision-based framework for automatically recovering an AUV by another AUV in shallow water. The proposed framework contains a detection phase for the robust detection of underwater landmarks mounted on the docking station in shallow water and a pose-estimation phase for estimating the pose between AUVs and underwater landmarks. We propose a Laplacian-of-Gaussian-based coarse-to-fine blockwise (LCB) method for the detection of underwater landmarks to overcome ambient light and nonuniform spreading, which are the two main problems in shallow water. We propose a novel method for pose estimation in practical cases where landmarks are broken or covered by biofouling. In the experiments, we show that our proposed LCB method outperforms the state-of-the-art method in terms of remote landmark detection. We then combine our proposed vision-based framework with acoustic sensors in field experiments to demonstrate its effectiveness in the automated recovery of AUVs. Full article
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Open AccessArticle Real-Time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments
Sensors 2019, 19(3), 687; https://doi.org/10.3390/s19030687
Received: 26 December 2018 / Revised: 1 February 2019 / Accepted: 6 February 2019 / Published: 8 February 2019
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Abstract
In the context of underwater robotics, the visual degradation induced by the medium properties make difficult the exclusive use of cameras for localization purpose. Hence, many underwater localization methods are based on expensive navigation sensors associated with acoustic positioning. On the other hand, [...] Read more.
In the context of underwater robotics, the visual degradation induced by the medium properties make difficult the exclusive use of cameras for localization purpose. Hence, many underwater localization methods are based on expensive navigation sensors associated with acoustic positioning. On the other hand, pure visual localization methods have shown great potential in underwater localization but the challenging conditions, such as the presence of turbidity and dynamism, remain complex to tackle. In this paper, we propose a new visual odometry method designed to be robust to these visual perturbations. The proposed algorithm has been assessed on both simulated and real underwater datasets and outperforms state-of-the-art terrestrial visual SLAM methods under many of the most challenging conditions. The main application of this work is the localization of Remotely Operated Vehicles used for underwater archaeological missions, but the developed system can be used in any other applications as long as visual information is available. Full article
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