Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node (2025)
- Authors:
- USP affiliated authors: UEYAMA, JO - ICMC ; OLIVEIRA, SAMUEL RUBENS SOUZA - ICMC ; NASCIMENTO, PEDRO TEODORO DO - EESC E ICMC ; MATOS, SAULO NEVES - ICMC
- Unidades: ICMC; EESC E ICMC
- DOI: 10.1109/SIoT68426.2025.11368798
- Subjects: DESLIZAMENTO DE TERRA; MONITORAMENTO; INTERNET DAS COISAS; DESASTRES AMBIENTAIS
- Keywords: WSN; WuR; energy consumption model; landslide monitoring; disaster monitoring; wake-up on radio
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piacataway
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: International Workshop on Secure Internet of Things - SIoT
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
OLIVEIRA, Samuel R et al. Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node. 2025, Anais.. Piacataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SIoT68426.2025.11368798. Acesso em: 15 abr. 2026. -
APA
Oliveira, S. R., Silva, A. R. da, Spohn, M. A., Nascimento, P. T. do, Matos, S. N., & Ueyama, J. (2025). Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node. In Proceedings. Piacataway: IEEE. doi:10.1109/SIoT68426.2025.11368798 -
NLM
Oliveira SR, Silva AR da, Spohn MA, Nascimento PT do, Matos SN, Ueyama J. Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node [Internet]. Proceedings. 2025 ;[citado 2026 abr. 15 ] Available from: https://doi.org/10.1109/SIoT68426.2025.11368798 -
Vancouver
Oliveira SR, Silva AR da, Spohn MA, Nascimento PT do, Matos SN, Ueyama J. Energy budget and time-to-failure analysis of wi-fi, LoRa, and 3G/4G back-hauls in a landslide-monitoring node [Internet]. Proceedings. 2025 ;[citado 2026 abr. 15 ] Available from: https://doi.org/10.1109/SIoT68426.2025.11368798 - Data-driven soft sensor development for ore type estimation in mineral crushing processes
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