Network-Aware Genetic Algorithms for the Coordination of MALE UAV Networks

Abstract

Maintaining an ad hoc network infrastructure to cover multiple ground-based users can be achieved by autonomous groups of hydrocarbon powered medium-altitude, long-endurance (MALE) unmanned aerial vehicles (UAVs). This can be seen as an optimisation problem to maximise the number of users supported by a quality network while making efficient use of the available power. We present an architecture that combines genetic algorithms with a network simulator to evolve flying solutions for groups of UAVs. Results indicate that our system generates physical network topologies that are usable and offer consistent network quality. It offers a higher goodput than the non-network-aware equivalent when covering the communication demands of multiple ground-based users. Most importantly, the proposed architecture flies the UAVs at lower altitudes making sure that downstream links remain active throughout the duration of the mission.

Publication DOI: https://doi.org/10.1007/978-3-030-89177-0_12
Divisions: College of Engineering & Physical Sciences
Additional Information: Copyright © Springer Nature Switzerland AG, 2021. This version of the paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use [https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms], but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-89177-0_12.
Event Title: 22th Annual Conference Towards Autonomous Robotic Systems, TAROS 2021
Event Type: Other
Event Dates: 2021-09-08 - 2021-09-10
Uncontrolled Keywords: Genetic algorithms,Networks,Unmanned aerial vehicles,Wireless communication,Theoretical Computer Science,Computer Science(all)
ISBN: 9783030891763
Last Modified: 20 Mar 2024 08:08
Date Deposited: 17 Sep 2021 15:25
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://link.sp ... -030-89177-0_12 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2021
Published Online Date: 2021-09-08
Accepted Date: 2021-07-28
Authors: Giagkos, Alexandros (ORCID Profile 0000-0001-6419-8966)
Wilson, Myra S.
Bancroft, Ben

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