Toward secure, efficient, and seamless reconfiguration of UAV swarm formations
Fecha
Autores
Wubben, Jamie
Aznar, Pablo
Fabra Collado, Francisco José
Directores
Handle
https://riunet.upv.es/handle/10251/179834
Cita bibliográfica
Wubben, J.; Aznar, P.; Fabra Collado, FJ.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Manzoni, P. (2020). Toward secure, efficient, and seamless reconfiguration of UAV swarm formations. IEEE. 1-7. https://doi.org/10.1109/DS-RT50469.2020.9213669
Titulación
Resumen
[EN] Unmanned Aerial vehicles (UAVs) have gained a lot
of interest over the last years due to the many fields of potential
application. Nowadays, researchers are becoming interested in
groups of UAVs working together. The collaborations between
UAVs open a wide field of opportunities, because they are
typically able to do more sophisticated tasks than a single
UAV. However, collaboration between multiple UAVs is still a
complex task, and significant challenges need to be addressed
before their mainstream adoption. For instance, the automatic
reconfiguration of a swarm can be used to adapt the swarm to
changing application demands to solve a task in a more efficient
and effective manner. However, the chances of collision become
high if reconfiguration is not carefully planned. In this work we
propose an approach to allow changing the shape of a UAV
formation during flight through a computational inexpensive
method that is able to decrease collision chances significantly.
During the experiments we tested different reconfiguration events
that are prone to collisions. Results have shown that our approach
maintains a safe distance (greater than 5 meters) between the
UAVs, while keeping the time overhead limited to a few tenths
of a second. Furthermore, scalability tests have proven that our
approach can handle the reconfiguration of at least 25 UAVs
simultaneously.
Palabras clave
ISSN
ISBN
978-1-7281-7343-6
Fuente
Proceedings of the 2020 IEEE/ACM. 24th International Symposium on Distributed Simulation and Real TimeApplications (DS-RT)
DOI
10.1109/DS-RT50469.2020.9213669
Editorial
IEEE
Enlaces relacionados
Patrocinadores
Agradecimientos
This work was partially supported by the Ministerio de Ciencia, Innovacion y Universidades, Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018, Spain, under Grant RTI2018-096384-B-I00.