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Towards Dependable Unmanned Aerial Vehicle Swarms Using Organic Computing

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Architecture of Computing Systems (ARCS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13949))

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Abstract

Organic Computing (OC) is a well-known research field aiming to build dependable embedded systems. OC systems often employ self-X properties such as self-configuration, self-healing, etc. These properties are inherent to several biological systems such as the human body and offer a blueprint for technical systems.

The Artificial DNA (ADNA) system was developed in the scope of the OC research. Its basic idea is to build a dependable embedded system from a textual description (the artificial DNA – as a technical counterpart to the DNA in biological cells).

Our contribution in this paper is to use the ADNA system to realize a highly dependable drone swarm providing self-X properties. We describe details of our drone demonstrator which we built for this purpose. In addition, we describe the extensions on the ADNA system to realize functions such as path planning and swarm control. The evaluation considers time delays in the WiFi connection between drones and Ground Control Stations (GCSs) and demonstrates that the real-time requirements of the ADNA system mostly hold despite the delays.

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Notes

  1. 1.

    Initial tests were performed in a simulation environment for safety reasons.

  2. 2.

    Sourcelink channel 5 only receives data when the drone swarm has two or more members.

  3. 3.

    The message repeat delay can be adjusted based on the HLP In this study, we used a repeat delay of 50 ms and a HLP of 100 ms.

References

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Author information

Authors and Affiliations

  1. Institut für Informatik, Goethe University Frankfurt, Frankfurt am Main, Germany

    Jonas Diegelmann, Philipp Homann, Mathias Pacher & Uwe Brinkschulte

Authors
  1. Jonas Diegelmann
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  2. Philipp Homann
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  3. Mathias Pacher
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  4. Uwe Brinkschulte
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Corresponding author

Correspondence to Jonas Diegelmann .

Editor information

Editors and Affiliations

  1. National Technical University of Athens, Athens, Greece

    Georgios Goumas

  2. Kiel University, Kiel, Germany

    Sven Tomforde

  3. Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany

    Jürgen Brehm

  4. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

    Stefan Wildermann

  5. Otto-von-Guericke University Magdeburg, Magdeburg, Germany

    Thilo Pionteck

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Diegelmann, J., Homann, P., Pacher, M., Brinkschulte, U. (2023). Towards Dependable Unmanned Aerial Vehicle Swarms Using Organic Computing. In: Goumas, G., Tomforde, S., Brehm, J., Wildermann, S., Pionteck, T. (eds) Architecture of Computing Systems. ARCS 2023. Lecture Notes in Computer Science, vol 13949. Springer, Cham. https://doi.org/10.1007/978-3-031-42785-5_21

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  • DOI: https://doi.org/10.1007/978-3-031-42785-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42784-8

  • Online ISBN: 978-3-031-42785-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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