RT Conference Proceedings
T1 Field report on experimental comparison of a WiFi mesh network against commercial 5G in an underground disaster environment.
A1 Bravo-Arrabal, Juan
A1 Álvarez-Merino, Carlos Simón
A1 Fernández-Lozano, Juan Jesús
A1 Gómez-Ruiz, José Antonio
A1 Mandow, Anthony
A1 Barco-Moreno, Raquel
A1 García-Cerezo, Alfonso José
K1 Robots autónomos
K1 Operaciones de salvamento y rescate
AB 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.
PB IEEE
YR 2023
FD 2023-11
LK https://hdl.handle.net/10630/30752
UL https://hdl.handle.net/10630/30752
LA eng
NO 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.
NO 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.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026