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Field report on experimental comparison of a WiFi mesh network against commercial 5G in an underground disaster environment.
dc.contributor.author | Bravo-Arrabal, Juan | |
dc.contributor.author | Álvarez-Merino, Carlos Simón | |
dc.contributor.author | Fernández-Lozano, Juan Jesús | |
dc.contributor.author | Gómez-Ruiz, José Antonio | |
dc.contributor.author | Mandow, Anthony | |
dc.contributor.author | Barco-Moreno, Raquel | |
dc.contributor.author | García-Cerezo, Alfonso José | |
dc.date.accessioned | 2024-03-04T11:34:40Z | |
dc.date.available | 2024-03-04T11:34:40Z | |
dc.date.issued | 2023-11 | |
dc.identifier.citation | Juan Bravo-Arrabal, C.S. Álvarez-Merino, J.J. Fernandez-Lozano, Jose Antonio Gómez-Ruiz, Anthony Mandow, Raquel Barco, and Alfonso Garcia-Cerezo. “Field report on experimental comparison of a WiFi mesh network against commercial 5G in an underground disaster environment”. Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR,2023. Fukushima, Japan. | es_ES |
dc.identifier.uri | https://hdl.handle.net/10630/30752 | |
dc.description.abstract | Mobile robots in disaster scenarios such as tunnels, mines, or collapsed structures face communication challenges for reliable video streaming to remote control centers. Commercial fifth-generation (5G) networks provide low latency and high bandwidth, especially in urban areas, but ad hoc WiFi networks with static and robotic nodes can provide a solution to attenuation in occluded areas. This paper offers a field experiment report from a search and rescue (SAR) exercise where we tested a WiFi mesh network against commercial 5G in tunnels 184 m long, 6 m wide, and 4 m high. Two operator streamed video to the Internet through a mesh that consisted of two static nodes and two mobile nodes on unmanned ground vehicles (UGV). Latency was measured for both operators for different video resolutions, as well as for a 5G customer-premises equipment (CPE) on-board a scout-UGV. The paper discusses experimental results and lessons learned. | es_ES |
dc.description.sponsorship | This work has been partially funded by the Spanish Ministerio de Ciencia, Innovación y Universidades, Gobierno de España, project PID2021-122944OB-I00, and by the Maori project (grant agreement number TSI-063000-2021-53) funded by the European Union-NextGenerationEU. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Robots autónomos | es_ES |
dc.subject | Operaciones de salvamento y rescate | es_ES |
dc.subject.other | 5G | es_ES |
dc.subject.other | Disaster robotics | es_ES |
dc.subject.other | Distributed robot systems | es_ES |
dc.subject.other | Search and rescue | es_ES |
dc.subject.other | Mesh networks | es_ES |
dc.subject.other | Underground scenarios | es_ES |
dc.title | Field report on experimental comparison of a WiFi mesh network against commercial 5G in an underground disaster environment. | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.centro | Escuela de Ingenierías Industriales | es_ES |
dc.relation.eventtitle | IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2023. | es_ES |
dc.relation.eventplace | Fukushima, Japón. | es_ES |
dc.relation.eventdate | Noviembre de 2023 | es_ES |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |