2026-05-29T22:11:48Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/287162026-02-03T11:29:10Zcom_10630_2254col_10630_37953

Realistic deployment of hybrid wireless sensor networks based on ZigBee and LoRa for search and rescue applications Bravo-Arrabal, Juan Zambrana-López, Pablo Fernández-Lozano, Juan Jesús Gómez-Ruiz, José Antonio Serón-Barba, Javier García-Cerezo, Alfonso José Gestión de emergencias - Innovaciones tecnológicas Search and Rescue operations in emergency response to natural or human catastrophes have the main objective of locating and rescuing potential victims as fast as possible, thus quick response and accurate actions are mandatory. While standard communications may be affected, a Wireless Sensor Network can be deployed to support the rescue team. This kind of network allows data acquisition close to events and enables persistence over time, among other advantages. However, enhancements must be made to improve the adaptation to this kind of scenario. This work presents two Hybrid Wireless Sensor Networks, based on ZigBee and LoRa, developed to address some of the challenges that Search and Rescue operations pose to the use of Wireless Sensor Networks, and tested in realistic scenarios in cooperation with first responders. Likewise, several software developments that increase the performance of the networks are described. Finally, the conclusions presented, and the lessons learnt are supported by a high amount of data, gathered in realistic exercises in cooperation with civilian and military first responders. 2024-01-15T10:03:55Z 2024-01-15T10:03:55Z 2022 journal article J. Bravo-Arrabal, P. Zambrana, J. J. Fernandez-Lozano, J. A. Gomez-Ruiz, J. S. Barba and A. García-Cerezo, "Realistic Deployment of Hybrid Wireless Sensor Networks Based on ZigBee and LoRa for Search and Rescue Applications," in IEEE Access, vol. 10, pp. 64618-64637, 2022 https://hdl.handle.net/10630/28716 10.1109/ACCESS.2022.3183135 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional IEEE Access