Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles

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

Research output: Chapter in Book/Report/Conference proceedingConference publication

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 publicationAdvances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Proceedings
PublisherSpringer
Pages48-59
Number of pages12
ISBN (Electronic)978-3-319-10401-0
ISBN (Print)9783319104003
DOIs
Publication statusPublished - 1 Jan 2014
Event15th Annual Conference on Advances in Autonomous Robotics Systems, TAROS 2014 - Birmingham, United Kingdom
Duration: 1 Sep 20143 Sep 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8717 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Annual Conference on Advances in Autonomous Robotics Systems, TAROS 2014
CountryUnited Kingdom
CityBirmingham
Period1/09/143/09/14

Keywords

  • coordination strategies
  • Evolutionary algorithms
  • unmanned aerial vehicles

Fingerprint Dive into the research topics of 'Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles'. Together they form a unique fingerprint.

  • Cite this

    Giagkos, A., Tuci, E., Wilson, M. S., & Charlesworth, P. B. (2014). Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. In Advances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Proceedings (pp. 48-59). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8717 LNAI). Springer. https://doi.org/10.1007/978-3-319-10401-0_5