Comparing approaches for coordination of autonomous communications UAVs

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

Research output: Contribution to conferencePaperpeer-review


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 subscribers 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
Number of pages9
Publication statusPublished - 10 Jun 2016
Event2016 International Conference on Unmanned Aircraft Systems - Key Bridge Marriott, Arlington, United States of America
Duration: 07 Jun 201610 Jun 2016


Conference2016 International Conference on Unmanned Aircraft Systems
Abbreviated titleICUAS'16
Country/TerritoryUnited States of America
Period07 Jun 201610 Jun 2016


Dive into the research topics of 'Comparing approaches for coordination of autonomous communications UAVs'. Together they form a unique fingerprint.

Cite this