Rui Campos
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Recent Grants
Grant: Close
RESPONDRONE - Novel Integrated Solution of Operating a Fleet of Drones with Multiple Synchronized Missions for Disaster Responses;
Open Date: 2019-05-01
Close Date:
Grant: Close
Comunicações Subaquáticas Sem Fios de Longo Alcance e Banda Larga
Open Date: 2018-10-01
Close Date: 2020-12-01
Grant: Close
Redes de Comunicações em Malha formadas por Veículos Aéreos Sensíveis ao Tráfego
Open Date: 2016-06-01
Close Date: 2019-05-01
Grant: Close
FLEXUS - Flexible Unmanned Surface Vehicles for the Internet of Moving Things
Open Date: 2016-03-01
Close Date: 2018-12-01
Grant: Close
BLUECOM+ - Connecting Humans and Systems at Remote Ocean Areas using Cost-effective Broadband Communications
Open Date: 2015-10-01
Close Date: 2017-04-01
Articles (7)
Year:
2025
Year:
2024
Year:
2024
Summary The ability to move and hover has made rotary‐wing unmanned aerial vehicles (UAVs) suitable platforms to act as flying communications relays (FCRs), aiming at providing on‐demand, temporary wireless connectivity when there is no network infrastructure available or a need to reinforce the capacity of existing networks. However, since UAVs rely on their on‐board batteries, which can be drained quickly, they typically need to land frequently for recharging or replacing them, limiting their endurance and the flying network availability. The problem is exacerbated when a single FCR UAV is used. The FCR UAV energy is used for two main tasks: Communications and propulsion. The literature has been focused on optimizing both the flying network performance and energy efficiency from the communications point of view, overlooking the energy spent for the UAV propulsion. Yet, the energy spent for communications is typically negligible when compared with the energy spent for the UAV propulsion. In this article, we propose energy‐aware relay positioning (EREP), an algorithm for positioning the FCR taking into account the energy spent for the UAV propulsion. Building upon the conclusion that hovering is not the most energy‐efficient state, EREP defines the trajectory and speed that minimize the energy spent by the FCR UAV on propulsion, without compromising in practice the quality of service offered by the flying network. The EREP algorithm is evaluated using simulations. The obtained results show gains up to 26% in the FCR UAV endurance for negligible throughput and delay degradation.
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Collaborators (5)
Nuno Abreu
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência
Megumi Kaneko
Professor
The Univeristy of Tokyo
André Coelho
Invited Assistant Professor
University of Porto
Bruno Ferreira
Invited Assistant Professor
Universidade do Porto Faculdade de Engenharia
Nuno Cruz
Professor Auxiliar
Universidade do Porto Faculdade de Engenharia
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