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)

PDF - Final accepted version (with author's formatting) Restricted to Repository staff and depositor only Download (1MB)

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.

Actions (login required)

View Item

Statistics

Downloads

Export as CSVXMLJSON

Activity Overview

1Download

236Hits

Additional statistics are available via IRStats2.