Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem (2023)
- Authors:
- USP affiliated authors: ESTRELLA, JÚLIO CEZAR - ICMC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; FERREIRA, ANTONIO MARCOS ALMEIDA - ICMC ; AZEVEDO, LEONILDO JOSÉ DE MELO DE - ICMC
- Unidade: ICMC
- DOI: 10.3390/s23042300
- Subjects: ALGORITMOS; TOMADA DE DECISÃO; INTERNET DAS COISAS; ANÁLISE DE DESEMPENHO
- Keywords: fog computing; hybrid sensor network; multi-criteria decision making
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
FERREIRA, Antonio Marcos Almeida et al. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem. Sensors, v. 23, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23042300. Acesso em: 10 jun. 2024. -
APA
Ferreira, A. M. A., Azevedo, L. J. de M. de, Estrella, J. C., & Delbem, A. C. B. (2023). Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem. Sensors, 23, 1-18. doi:10.3390/s23042300 -
NLM
Ferreira AMA, Azevedo LJ de M de, Estrella JC, Delbem ACB. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem [Internet]. Sensors. 2023 ; 23 1-18.[citado 2024 jun. 10 ] Available from: https://doi.org/10.3390/s23042300 -
Vancouver
Ferreira AMA, Azevedo LJ de M de, Estrella JC, Delbem ACB. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem [Internet]. Sensors. 2023 ; 23 1-18.[citado 2024 jun. 10 ] Available from: https://doi.org/10.3390/s23042300 - Simulation tools for the development of a public transport ecosystem with mobile sensors
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Informações sobre o DOI: 10.3390/s23042300 (Fonte: oaDOI API)
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