Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles

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

doi:10.1007/978-3-319-10401-0_5

Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles

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

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference 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 language	English
Title of host publication	Advances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Proceedings
Publisher	Springer
Pages	48-59
Number of pages	12
ISBN (Electronic)	978-3-319-10401-0
ISBN (Print)	9783319104003
DOIs	https://doi.org/10.1007/978-3-319-10401-0_5
Publication status	Published - 1 Jan 2014
Event	15th Annual Conference on Advances in Autonomous Robotics Systems, TAROS 2014 - Birmingham, United Kingdom Duration: 1 Sept 2014 → 3 Sept 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8717 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th Annual Conference on Advances in Autonomous Robotics Systems, TAROS 2014
Country/Territory	United Kingdom
City	Birmingham
Period	1/09/14 → 3/09/14

Keywords

coordination strategies
Evolutionary algorithms
unmanned aerial vehicles

Access to Document

10.1007/978-3-319-10401-0_5

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

Giagkos, Alexandros ; Tuci, Elio ; Wilson, Myra S. et al. / Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. Advances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Proceedings. Springer, 2014. pp. 48-59 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Giagkos, A, Tuci, E, Wilson, MS & Charlesworth, PB 2014, Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. in Advances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8717 LNAI, Springer, pp. 48-59, 15th Annual Conference on Advances in Autonomous Robotics Systems, TAROS 2014, Birmingham, United Kingdom, 1/09/14. https://doi.org/10.1007/978-3-319-10401-0_5

Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. / Giagkos, Alexandros; Tuci, Elio; Wilson, Myra S. et al.
Advances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Proceedings. Springer, 2014. p. 48-59 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8717 LNAI).

Research output: Chapter in Book/Published conference output › Conference publication

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N2 - 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.

AB - 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.

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Giagkos A, Tuci E, Wilson MS, Charlesworth PB. Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. In Advances in Autonomous Robotics Systems - 15th Annual Conference, TAROS 2014, Proceedings. Springer. 2014. p. 48-59. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-10401-0_5

Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles

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