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An Adaptive Policy Based Control Framework for Land Vehicle Systems

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Book cover Intelligent Robotics and Applications (ICIRA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10985))

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Abstract

In this paper we present a framework for contextually aware dynamic device selection and configuration by a service level controller. The approach taken aligns with the tenets of autonomic computing, namely Self - configuration, healing, optimisation and protection. The mechanism and its implementation in software is described with simulations conducted in the application space of resilient position, navigation and timing in a Global Navigation Satellite System (GNSS) contested environment. The simulations show that our approach enables the appropriate selection of a GNSS device in a vehicle traversing an area of operations with various levels of GNSS degradation.

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Notes

  1. 1.

    Highest, Lowest or Closest to the estimated KPI.

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Author information

Authors and Affiliations

  1. Land Division, Defence Science and Technology (DST) Group, Edinburgh, SA, Australia

    Glen Pearce, Benjamin Campbell, Ant Perry, Brendan Sims, Mohammad Zamani, Lance Newby, Daniel Nesbitt & Robert Hunjet

  2. Consunet, Thebarton, SA, Australia

    Greg Bowering

  3. HiQ Systems, Unley, SA, Australia

    Stephen Franklin

Authors
  1. Glen Pearce
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  2. Benjamin Campbell
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  3. Ant Perry
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  4. Brendan Sims
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  5. Mohammad Zamani
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  6. Lance Newby
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  7. Daniel Nesbitt
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  8. Greg Bowering
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  9. Stephen Franklin
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  10. Robert Hunjet
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Corresponding author

Correspondence to Glen Pearce .

Editor information

Editors and Affiliations

  1. University of Newcastle, Callaghan, New South Wales, Australia

    Zhiyong Chen

  2. University of Newcastle, Callaghan, New South Wales, Australia

    Alexandre Mendes

  3. University of Newcastle, Callaghan, New South Wales, Australia

    Yamin Yan

  4. Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Shifeng Chen

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© 2018 Commonwealth of Australia

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Pearce, G. et al. (2018). An Adaptive Policy Based Control Framework for Land Vehicle Systems. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10985. Springer, Cham. https://doi.org/10.1007/978-3-319-97589-4_18

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  • DOI: https://doi.org/10.1007/978-3-319-97589-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97588-7

  • Online ISBN: 978-3-319-97589-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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