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Applying the Concept of Artificial DNA and Hormone System to a Low-Performance Automotive Environment

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Architecture of Computing Systems – ARCS 2019 (ARCS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11479))

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Abstract

Embedded systems are growing very complex because of the increasing chip integration density, larger number of chips in distributed applications and demanding application fields e.g. in autonomous cars. Bio-inspired techniques like self-organization are a key feature to handle the increasing complexity of embedded systems. In biology the structure and organization of a system is coded in its DNA, while dynamic control flows are regulated by the hormone system. We adapted these concepts to embedded systems using an artificial DNA (ADNA) and an artificial hormone system (AHS). Based on these concepts, highly reliable, robust and flexible systems can be created. These properties predestine the ADNA and AHS for the use in future automotive applications.

However, computational resources and communication bandwidth are often limited in automotive environments. Nevertheless, in this paper we show that the concept of ADNA and AHS can be successfully applied to an environment consisting of low-performance automotive microcontrollers interconnected by a classical CAN bus.

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Notes

  1. 1.

    Only needed if the payload data of a chunk is completely filled, otherwise a length less than 8 bytes indicates the last chunk.

  2. 2.

    Experimental AntiLockTraction DNA from Sect. 5.

  3. 3.

    Not necessarily all DNA lines require a task, e.g. actor lines.

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Author information

Authors and Affiliations

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

    Uwe Brinkschulte

  2. Intedis GmbH & Co. KG, Würzburg, Germany

    Felix Fastnacht

Authors
  1. Uwe Brinkschulte
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  2. Felix Fastnacht
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Corresponding author

Correspondence to Uwe Brinkschulte .

Editor information

Editors and Affiliations

  1. Technical University of Denmark, Lyngby, Denmark

    Martin Schoeberl

  2. Technical University of Darmstadt, Darmstadt, Germany

    Christian Hochberger

  3. Airbus Defence and Space GmbH, Taufkirchen, Germany

    Sascha Uhrig

  4. University of Hanover, Hanover, Germany

    Jürgen Brehm

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

    Thilo Pionteck

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Brinkschulte, U., Fastnacht, F. (2019). Applying the Concept of Artificial DNA and Hormone System to a Low-Performance Automotive Environment. In: Schoeberl, M., Hochberger, C., Uhrig, S., Brehm, J., Pionteck, T. (eds) Architecture of Computing Systems – ARCS 2019. ARCS 2019. Lecture Notes in Computer Science(), vol 11479. Springer, Cham. https://doi.org/10.1007/978-3-030-18656-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-18656-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18655-5

  • Online ISBN: 978-3-030-18656-2

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