Comparing approaches for coordination of autonomous communications UAVs

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

Allbwn ymchwil: Cyfraniad at gynhadleddPapuradolygiad gan gymheiriaid

13 Dyfyniadau (Scopus)


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.
Iaith wreiddiolSaesneg
Nifer y tudalennau9
StatwsCyhoeddwyd - 10 Meh 2016
Digwyddiad2016 International Conference on Unmanned Aircraft Systems - Key Bridge Marriott, Arlington, Unol Daleithiau America
Hyd: 07 Meh 201610 Meh 2016


Cynhadledd2016 International Conference on Unmanned Aircraft Systems
Teitl crynoICUAS'16
Gwlad/TiriogaethUnol Daleithiau America
Cyfnod07 Meh 201610 Meh 2016

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