Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles

Giagkos, Alexandros, Tuci, Elio, Wilson, Myra S. and Charlesworth, Philip B. (2014) Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles. Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014 Birmingham, UK, September 1-3, 2014 Proceedings. In: TAROS 2014: 15th Towards Autonomous Robotic Systems annual conference, 01-03 Sept 2014, Birmingham, United Kingdom. ISBN 9783319104003. ISSN 0302-9743 [Conference or Workshop Item] (doi:10.1007/978-3-319-10401-0_5)

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Abstract

A system to coordinate the movement of a group of un- manned aerial vehicles that provide a network backbone over mobile ground-based vehicles with communication needs is presented. Using evo- lutionary 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 de- sirable level of adaptability with respect to the objectives set, providing useful feedback for future research directions.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Paper published as:
Giagkos A., Tuci E., Wilson M.S., Charlesworth P.B. (2014) Evolutionary Coordination System for Fixed-Wing Communications Unmanned Aerial Vehicles. In: Mistry M., Leonardis A., Witkowski M., Melhuish C. (eds) Advances in Autonomous Robotics Systems. TAROS 2014. Lecture Notes in Computer Science, vol 8717. Springer, Cham
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 21945
Notes on copyright: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-10401-0_5
Depositing User: Elio Tuci
Date Deposited: 07 Jun 2017 14:10
Last Modified: 03 Apr 2019 11:34
URI: https://eprints.mdx.ac.uk/id/eprint/21945

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