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Self-adaptive Team of Aquatic Drones with a Communication Network for Aquaculture

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Progress in Artificial Intelligence (EPIA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11805))

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Abstract

The use of Unmanned Surface Vehicle (USV) teams, more commonly known as drones, has become increasingly common for aquaculture scenarios due to their availability and low cost. For monitoring to be feasible and in real time, it is necessary for the drones to be in constant communication so that they can organize themselves and send data to a land platform. This paper presents a cooperative navigation behavior in constant communication with the network layer to achieve a better overall performance in the coverage of a space and a better network quality between heterogeneous USVs. In conclusion, increasing the amount of USVs is beneficial as long as an Avoid or Assist does not impact the overall time.

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Acknowledgements

This work was funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020) of the Portugal 2020 by the Project MOBIWISE, POCI-01-0145-FEDER-016426, through the Programa Integrado de IC&DT Centro2020 by the project “SmartBioR: Valorizacao Inteligente de Recursos Biologicos Marinhos Endogenos num Clima em Mudanca”, Centro-01-0145-FEDER-000018, and through Urban Innovative Actions Initiative by the project AVEIRO STEAM City, UIA03-084.

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Authors and Affiliations

  1. Instituto de Telecomunicações, 3810-193, Aveiro, Portugal

    Daniela Sousa, Susana Sargento & Miguel Luís

  2. Departamento de Eletrónica, Telecomunicações e Informática, University of Aveiro, 3810-193, Aveiro, Portugal

    Daniela Sousa, Susana Sargento & Artur Pereira

Authors
  1. Daniela Sousa
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  2. Susana Sargento
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  3. Artur Pereira
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  4. Miguel Luís
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Corresponding author

Correspondence to Daniela Sousa .

Editor information

Editors and Affiliations

  1. INESC-TEC, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Paulo Moura Oliveira

  2. University of Minho, Braga, Portugal

    Paulo Novais

  3. LIACC/UP, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Sousa, D., Sargento, S., Pereira, A., Luís, M. (2019). Self-adaptive Team of Aquatic Drones with a Communication Network for Aquaculture. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11805. Springer, Cham. https://doi.org/10.1007/978-3-030-30244-3_47

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  • DOI: https://doi.org/10.1007/978-3-030-30244-3_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30243-6

  • Online ISBN: 978-3-030-30244-3

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