Comparing approaches for coordination of autonomous communications UAVs

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

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

Abstract

A small group of Unmanned Aerial Vehicles (UAV), each equipped with a communications payload, offers a possible means of providing broadband services over disaster regions. The UAVs are power limited so the number of mobile sub-scribers that can be supported by each UAV depends on its proximity to clusters of mobiles. One way of maximising the total number of mobiles supported within the available RF power is to periodically relocate each of the UAVs in response to the movement of the mobiles. This paper compares two approaches for optimally locating the UAVs. One approach employs a non cooperative game (NCG) as the mechanism to plan the next flying strategies for the group. The other uses evolutionary algorithms (EA) to evolve flying manoeuvres in a collaborative manner. Exemplar comparison results show that although both approaches are able to provide sufficient network coverage adaptively, they exhibit different flying behaviours in terms of flightpath, separation and convergence time. The non cooperative game is found to fly all aerial vehicles in a similar, balanced and conservative way, whilst the evolutionary algorithms enable the emergence of flexible and specialised flying behaviours for each member in the flying group which converge faster to a sufficient global solution.

Original languageEnglish
Title of host publication2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
PublisherIEEE
Pages1131-1139
Number of pages9
ISBN (Electronic)9781467393331
DOIs
Publication statusPublished - 30 Jun 2016
Event2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016 - Arlington, United States
Duration: 7 Jun 201610 Jun 2016

Conference

Conference2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
CountryUnited States
CityArlington
Period7/06/1610/06/16

Fingerprint

Unmanned aerial vehicles (UAV)
Communication
Evolutionary algorithms
Disasters
Antennas

Cite this

Giagkos, A., Wilson, M. S., Tuci, E., & Charlesworth, P. B. (2016). Comparing approaches for coordination of autonomous communications UAVs. In 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016 (pp. 1131-1139). [7502551] IEEE. https://doi.org/10.1109/ICUAS.2016.7502551
Giagkos, Alexandros ; Wilson, Myra S. ; Tuci, Elio ; Charlesworth, Philip B. / Comparing approaches for coordination of autonomous communications UAVs. 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016. IEEE, 2016. pp. 1131-1139
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Giagkos, A, Wilson, MS, Tuci, E & Charlesworth, PB 2016, Comparing approaches for coordination of autonomous communications UAVs. in 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016., 7502551, IEEE, pp. 1131-1139, 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016, Arlington, United States, 7/06/16. https://doi.org/10.1109/ICUAS.2016.7502551

Comparing approaches for coordination of autonomous communications UAVs. / Giagkos, Alexandros; Wilson, Myra S.; Tuci, Elio; Charlesworth, Philip B.

2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016. IEEE, 2016. p. 1131-1139 7502551.

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

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Giagkos A, Wilson MS, Tuci E, Charlesworth PB. Comparing approaches for coordination of autonomous communications UAVs. In 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016. IEEE. 2016. p. 1131-1139. 7502551 https://doi.org/10.1109/ICUAS.2016.7502551