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Applications and Challenges of Internet of Underwater Things

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

Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 7346

Special Issue Editors


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Guest Editor
Department of Environmental Sciences, Informatics and Statistics (DAIS), Università Ca' Foscari of Venice, 30172 Venezia Mestre, Italy
Interests: computer vision; machine learning; structural pattern recognition; network science

E-Mail Website
Guest Editor
Department of Environmental Sciences, Informatics and Statistics (DAIS), Università Ca' Foscari of Venice, 30172 Venezia Mestre, Italy
Interests: network modeling; performance evaluation; underwater sensor networks; simulation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Environmental Sciences, Informatics and Statistics (DAIS), Università Ca' Foscari of Venice, 30172 Venezia Mestre, Italy
Interests: computer vision; 3D reconstruction; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last few decades, research on underwater sensor networks has gained a lot of interest both from the scientific and industrial communities. The possibility of communication over long distances by means of underwater motes has opened a broad new avenue for what concerns ocean environmental monitoring, seabed exploration, seismic activity monitoring, and military surveillance, just to mention few application domains. Moreover, advancements in the fields of smart sensing due also to the integration of artificial intelligence techniques with traditional sensor technologies has seen the growth of a vast array of underwater sensors aimed at applications that previously required problem-driven approximations or extensive human intervention.

The idea of ‘Internet of Underwater Things’ makes a further step in the direction of integrating different types of networks (including terrestrial, on-surface, and aerial ones), a wide range of different smart sensors, and designing an application layer that allows for decisions based on harvested data.

Several challenges must be faced for the actual implementation of such a system, including but not limited to the connectivity and reliability problems, the optimization of the network maintenance thanks to energy harvesting or the use of energy-aware protocols, network security, and confidentiality of the data. Moreover, the design of smart devices that may be designated either to support the network activities (such as autonomous vehicles) or for monitoring some physical phenomena in a smart and autonomous way still poses many open problems.

This Special Issue aims at bringing together academia and industrial researchers to explore the opportunities of the Internet of Underwater Things. We solicit papers covering various topics of interest such as the design of reliable, efficient, and secure networks supporting the Internet of Underwater Things, the development of novel smart sensors and algorithms (with particular focus on those using artificial intelligence and/or computer vision), and the design of new application scenarios or reporting experiences on real-world implementations.

Dr. Andrea Torsello
Dr. Andrea Marin
Dr. Filippo Bergamasco
Guest Editors

Manuscript Submission Information

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Keywords

  • Underwater sensors
  • Underwater networks
  • Artificial intelligence for marine sensing
  • Artificial intelligence for underwater networking
  • Applications of Internet of Underwater Things

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Published Papers (2 papers)

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Research

15 pages, 22261 KiB  
Article
Safe Navigation Distance Between Marine Routes and Aquaculture Farms in South Korea Using Gaussian Mixture Model
by Sang-Lok Yoo and Jong-Chul Jeong
Sensors 2020, 20(5), 1246; https://doi.org/10.3390/s20051246 - 25 Feb 2020
Cited by 4 | Viewed by 3499
Abstract
The purpose of this study was to determine the minimum separation distance between aquaculture farms and ship traffic to prevent damage to either the farms or the vessels. A high-risk area in South Korea was selected for the study by overlapping shipping routes [...] Read more.
The purpose of this study was to determine the minimum separation distance between aquaculture farms and ship traffic to prevent damage to either the farms or the vessels. A high-risk area in South Korea was selected for the study by overlapping shipping routes with fisheries using satellite and aerial photographs. The annual frequency of damage was calculated based on a probability distribution applied to the sea area, and a safe distance between the aquaculture farms and the traffic was derived. The Kolmogorov–Smirnov (KS) test was conducted to determine whether the Gaussian mixture model (GMM) follows the data of this study. It was found that a safe distance of at least 1000 m is needed to avoid farm or vessel damage. Then, it is possible to prevent damage to vessel propellers and fisheries locating aquaculture farms at the minimum safe distance from the traffic routes. For protection and security of these structures, the installation of a set of wirelessly Internet of Underwater Things (IoUT) sensors that can transmit the farm location to the ship’s navigator were suggested. Full article
(This article belongs to the Special Issue Applications and Challenges of Internet of Underwater Things)
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14 pages, 9574 KiB  
Article
Underwater Image Transmission Using Spatial Modulation Unequal Error Protection for Internet of Underwater Things
by Hamada Esmaiel, Zeyad A. H. Qasem, Haixin Sun, Junfeng Wang and Naveed Ur Rehman Junejo
Sensors 2019, 19(23), 5271; https://doi.org/10.3390/s19235271 - 29 Nov 2019
Cited by 22 | Viewed by 3371
Abstract
A spatial modulation (SM) scheme has been developed as a hopeful candidate for spectral and energy-efficient wireless communication systems, as it provides a great judgment for the system performance, data transmission rate, receiver complexity, and energy/spectrum efficiency. In SM, the data is conveyed [...] Read more.
A spatial modulation (SM) scheme has been developed as a hopeful candidate for spectral and energy-efficient wireless communication systems, as it provides a great judgment for the system performance, data transmission rate, receiver complexity, and energy/spectrum efficiency. In SM, the data is conveyed by both habitual M-ary signal constellations and the transmit antennas indices. Therefore, the system data rate improvement due to the side information bits transmitted, encapsulated in indices of the transmit antennas, improves the SM transmission efficiency compared to the different MIMO players. The information bits transmitted over the antenna index and data symbol constellation using M-ary signal performance have different levels of bit error rate (BER) performance. This paper proposes unequal error protection (UEP) scheme for image transmission over the Internet of Underwater Things (IoUTs) using SM. The Set Partitioning in Hierarchical Trees (SPIHT) coders encode the underwater image and classify the encoded bits in two categories: critical and uncritical bits. The critical bits are transmitted over the SM index bits and have a low BER while the uncritical bits are transmitted over high order M-ary signal constellation to resolve the underwater acoustic channel bandwidth limitation problem. The proposed SM-UEP technique has been developed carefully with enough justification and evaluation over the measured underwater acoustic channel and the simulated channel. The simulation results show that the proposed SM-UEP can increase the average peak signal-to-noise ratio (PSNR) of the reconstructed received image considerably, and significantly. Full article
(This article belongs to the Special Issue Applications and Challenges of Internet of Underwater Things)
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