119699 20221115154454.0 sideral 130482 ART-2020-130482 eng Fabra, Francisco MUSCOP: Mission-based UAV swarm coordination protocol 2020 Nowadays,UnmannedAerial Vehicles (UAVs) have become the preferred, and sometimes the only support tool when facing critical scenarios such as earthquakes, search and rescue missions, and border surveillance. In these scenarios, deploying a UAV swarm instead of a single UAV can provide additional benefits when, for example, cargo carrying requirements exceed the lifting power of a single UAV, or when the deployment of several UAVs simultaneously can accelerate the accomplishment of the mission, and broaden the covered area. To this aim, in this paper we present MUSCOP, a protocol that allows multiple UAVs to perfectly coordinate their flight when performing planned missions. Experimental results show that the proposed protocol is able to achieve a high degree of swarm cohesion independently of the swarm formation adopted, and even in the presence of very lossy channels, achieving minimal synchronization delays and very low position offsets with regard to the ideal case. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/MICINN/RTI2018-096384-B-100 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.367 2020 COMPUTER SCIENCE, INFORMATION SYSTEMS 65 / 162 = 0.401 2020 Q2 T2 TELECOMMUNICATIONS 36 / 91 = 0.396 2020 Q2 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 94 / 273 = 0.344 2020 Q2 T2 0.586 2020 Computer Science (miscellaneous) 2020 Q1 Materials Science (miscellaneous) 2020 Q1 Engineering (miscellaneous) 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Zamora, Willian Reyes, Pablo Sanguesa, Julio A. Universidad de Zaragoza (orcid)0000-0001-7657-0075 Calafate, Carlos T Cano, Juan Carlos Manzoni, Pietro 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 8 (2020), 72498 - 72511 IEEE Access IEEE Access 2169-3536 2008997 http://zaguan.unizar.es/record/119699/files/texto_completo.pdf Versión publicada 2772194 http://zaguan.unizar.es/record/119699/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:119699 articulos driver 2022-11-15-12:18:16 ARTICLE