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Advancing Evolutionary Coordination for Fixed-Wing Communications UAVs

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 9287)

Abstract

In this paper we present advances to our previously proposed coordination system for groups of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles. Evolutionary algorithms are employed in order to evolve flying manoeuvres that position the aerial vehicles. The updates to the system include obstacle representation, a packing mechanism to permit efficient dynamic allocation of ground-based vehicles to their supporting aerial vehicles within large-scale environments, and changes to time synchronisation. The experimental results presented in this paper show that the system is able to adaptively form sparse formations that cover as many ground-based vehicles as possible, optimising the use of the available power.

Keywords

  • Evolutionary algorithms
  • Unmanned Aerial Vehicles
  • Coordination strategies

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  • DOI: 10.1007/978-3-319-22416-9_14
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Correspondence to Alexandros Giagkos .

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Giagkos, A., Tuci, E., Wilson, M.S. (2015). Advancing Evolutionary Coordination for Fixed-Wing Communications UAVs. In: Dixon, C., Tuyls, K. (eds) Towards Autonomous Robotic Systems. TAROS 2015. Lecture Notes in Computer Science(), vol 9287. Springer, Cham. https://doi.org/10.1007/978-3-319-22416-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-22416-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22415-2

  • Online ISBN: 978-3-319-22416-9

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