Advancing evolutionary coordination for fixed-wing communications UAVs

Giagkos, Alexandros, Tuci, Elio and Wilson, Myra S. (2015) Advancing evolutionary coordination for fixed-wing communications UAVs. Conference Towards Autonomous Robotic Systems, 9287 . pp. 124-135. ISSN 0302-9743 [Article] (doi:10.1007/978-3-319-22416-9_14)

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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.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 21940
Depositing User: Elio Tuci
Date Deposited: 13 Jun 2017 14:27
Last Modified: 04 Apr 2019 08:44
URI: https://eprints.mdx.ac.uk/id/eprint/21940

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