Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles

Alexandros Giagkos, Myra Scott Wilson, Elio Tuci, Philip B. Charlesworth

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

3 Citations (SciVal)

Abstract

A system to coordinate the movement of a group of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles with communication needs is presented. Using evolutionary algorithms, the system evolves flying manoeuvres that position the aerial vehicles by fulfilling two key requirements; i) they maximise net coverage and ii) they minimise the power consumption. Experimental results show that the proposed coordination system is able to offer a desirable level of adaptability with respect to the objectives set, providing useful feedback for future research directions.
Original languageEnglish
Title of host publication15th Towards Autonomous Robotic Systems (TAROS 2014)
EditorsM. Mistry, A. Leonardis, M. Witkowski, C. Melhuish
PublisherSpringer Nature
Pages48-57
Number of pages10
ISBN (Electronic)978-3-319-10401-0
ISBN (Print)978-3-319-10400-3
Publication statusPublished - 2014

Publication series

NameLNCS
PublisherSpringer
Number8717

Keywords

  • Evolutionary algorithms, unmanned aerial vehicles, coordination strategies

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