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-networkaware 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.
Original language | English |
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Title of host publication | Towards Autonomous Robotic Systems (TAROS) |
Publisher | Springer |
Number of pages | 10 |
Publication status | E-pub ahead of print - 8 Sep 2021 |
Event | Towards Autonomous Robotic Systems - Lincoln, Lincoln, United Kingdom Duration: 8 Sep 2021 → 10 Sep 2021 Conference number: 22 https://lcas.lincoln.ac.uk/wp/taros-2021/ |
Publication series
Name | Springer Lecture Notes in the Artificial Intelligence series |
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Publisher | Springer |
Conference
Conference | Towards Autonomous Robotic Systems |
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Abbreviated title | TAROS |
Country/Territory | United Kingdom |
City | Lincoln |
Period | 8/09/21 → 10/09/21 |
Internet address |