Descriptor: The SFI Smart Ocean Dataset for Acoustic Communications (SODAC)

Underwater acoustic data communication is an enabling technology for operations such as environmental monitoring, exploitation of ocean resources, and autonomous inspection of offshore infrastructure. The only viable technique for subsea telemetry over longer distances is by encoding the information in sound waves. However, the influence of the ocean environment on sound propagation can be harsh, resulting in a poor performance of protocols designed for terrestrial radio-frequency communications. This justifies active research on physical-layer algorithms and network protocols that are robust to acoustic propagation in the oceans. Factors that hamper progress are the lack of accepted standard test channels and hard-to-obtain field data. A majority of academic institutions cannot afford at-sea experimentation, resorting to simplified channel models to test new protocols. In order to make field data accessible to a wider audience, this paper presents a dataset of hydrophone recordings of communication and channel probe waveforms collected in an enclosed fjord environment. The SFI Smart Ocean Dataset for Acoustic Communications (SODAC) allows users to test communication algorithms on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> data, with opportunities to publish reproducible results that set a realistic benchmark for other researchers.

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Publication Details

Journal
IEEE data descriptions.
Published
2025-01-01
DOI
https://doi.org/10.1109/ieeedata.2025.3577998
Citations
1
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
1.79
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article

Descriptor: The SFI Smart Ocean Dataset for Acoustic Communications (SODAC)

Roald Otnes, Beatrice Tomasi, A. Vahlin, Bård Henriksen et al.
1 citations
IEEE data descriptions.
Underwater Acoustics Research
1.79
article

Descriptor: The SFI Smart Ocean Dataset for Acoustic Communications (SODAC)

Roald Otnes, Beatrice Tomasi, A. Vahlin, Bård Henriksen, Øivind Bergh, Francois-Xavier Socheleau, Mandar Chitre, Paul van Walree, Jean-Baptiste Danre
article en
1 citations

Abstract

Underwater acoustic data communication is an enabling technology for operations such as environmental monitoring, exploitation of ocean resources, and autonomous inspection of offshore infrastructure. The only viable technique for subsea telemetry over longer distances is by encoding the information in sound waves. However, the influence of the ocean environment on sound propagation can be harsh, resulting in a poor performance of protocols designed for terrestrial radio-frequency communications. This justifies active research on physical-layer algorithms and network protocols that are robust to acoustic propagation in the oceans. Factors that hamper progress are the lack of accepted standard test channels and hard-to-obtain field data. A majority of academic institutions cannot afford at-sea experimentation, resorting to simplified channel models to test new protocols. In order to make field data accessible to a wider audience, this paper presents a dataset of hydrophone recordings of communication and channel probe waveforms collected in an enclosed fjord environment. The SFI Smart Ocean Dataset for Acoustic Communications (SODAC) allows users to test communication algorithms on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> data, with opportunities to publish reproducible results that set a realistic benchmark for other researchers.

IEEE data descriptions.Vol. 2
Centre National de la Recherche Scientifique (FR), Université de Bretagne Occidentale (FR), Norwegian Defence Research Establishment (NO), National University of Singapore (SG), Norwegian Institute of Marine Research (NO), NORCE Research AS (NO), Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance (FR), IMT Atlantique (FR)
Life below water
Openalex Percentile: Top 17%
Underwater Acoustics Research
1.79
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