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Herausforderungen und Möglichkeiten in der Kommunikation für autonome Unterwasserfahrzeuge

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KI-Technologie für Unterwasserroboter

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Zusammenfassung

Drahtlose Kommunikation ist für autonome Unterwasserfahrzeuge (AUVs) unerlässlich, um Arbeitsanweisungen zu geben, gesammelte Daten weiterzuleiten oder mehrere AUVs, die in einem Schwarm arbeiten, zu koordinieren. Die Kommunikation in der Unterwasserumgebung ist jedoch unzuverlässig und erlaubt aufgrund hoher Störungen und schlechter Signalübertragungsbedingungen keine hohen Datenraten. In diesem Kapitel werden bestehende Konzepte für Unterwasserkommunikation sowohl aus der Sicht der Informationsübertragung als auch aus dem Netzwerkaspekt heraus überprüft. Die Einführung semantischer Kommunikation hilft, die Menge der übertragenen Daten zu reduzieren, indem semantische Nebeninformationen genutzt werden. Opportunistische Netzwerke ermöglichen eine Ende-zu-Ende-Datenweiterleitung ohne permanente Konnektivität und können erweitert werden, um die am besten geeignete Kommunikationstechnologie zu nutzen, wenn Daten mit gegebener Größe und Priorität weitergeleitet werden. Maschinelles Lernen (ML) hilft, Hintergrundinformationen zu speichern und zu klassifizieren, um die Effizienz der Kommunikation zu erhöhen.

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Author information

Authors and Affiliations

  1. Department of Communications Engineering, Institute for Telecommunication and High Frequency Techniques, Universität Bremen, Bremen, Deutschland

    Dirk Wübben & Armin Dekorsy

  2. Department of Communication Networks, Institute for Telecommunication and High Frequency Techniques, Universität Bremen, Bremen, Deutschland

    Andreas Könsgen, Asanga Udugama & Anna Förster

Authors
  1. Dirk Wübben
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  2. Andreas Könsgen
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  3. Asanga Udugama
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  4. Armin Dekorsy
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  5. Anna Förster
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Corresponding author

Correspondence to Dirk Wübben .

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Editors and Affiliations

  1. Robotics Innovation Center, DFKI GmbH and Robotic Group, University of Bremen, Bremen, Deutschland

    Frank Kirchner

  2. Robotics Innovation Center, DFKI GmbH, Bremen, Deutschland

    Sirko Straube

  3. Robotics Innovation Center, DFKI GmbH, Bremen, Deutschland

    Daniel Kühn

  4. Robotics Innovation Center, DFKI GmbH and Robotic Group, University of Bremen, Bremen, Deutschland

    Nina Hoyer

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Wübben, D., Könsgen, A., Udugama, A., Dekorsy, A., Förster, A. (2023). Herausforderungen und Möglichkeiten in der Kommunikation für autonome Unterwasserfahrzeuge. In: Kirchner, F., Straube, S., Kühn, D., Hoyer, N. (eds) KI-Technologie für Unterwasserroboter. Springer Vieweg, Cham. https://doi.org/10.1007/978-3-031-42369-7_7

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