Emulação de uma WSN WiFi para Monitoramento Acústico de Mosquitos
Resumo
Este trabalho apresenta um experimento de emulação, sobre Mininet-WiFi, de uma rede de sensores sem fio (WSN) IoT para monitoramento acústico de mosquitos, com classificação de áudio na borda e uma arquitetura centralizada em um único servidor que agrega os dados de múltiplos clusters de sensores. Avaliamos os protocolos de aplicação MQTT, HTTP e CoAP sob cargas crescentes (10 a 50 sensores). O MQTT apresentou a menor latência em todas as cargas, enquanto vazão e perda de pacotes foram equivalentes entre os protocolos. Concluímos que o MQTT é o protocolo mais adequado a esse cenário, favorecido pela arquitetura centralizada adotada.
Referências
Banks, A., Briggs, E., Borgendale, K., and Gupta, R. (2019). MQTT Version 5.0. OASIS Standard. Especificação do protocolo MQTT versão 5.0.
Buzura, S., Dadarlat, V., Peculea, A., Bertrand, H., and Chevalier, R. (2022). Simulation framework for 6lowpan networks using mininet-wifi. In 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), pages 1–5. DOI: 10.1109/AQTR55203.2022.9802017
Fontes, R. R., Afzal, S., Brito, S. H. B., Santos, M. A. S., and Rothenberg, C. E. (2015). Mininet-wifi: Emulating software-defined wireless networks. In 2015 11th International Conference on Network and Service Management (CNSM), pages 384–389. DOI: 10.1109/CNSM.2015.7367387
Gemirter, C. B., Şenturca, , and Baydere, (2021). A comparative evaluation of amqp, mqtt and http protocols using real-time public smart city data. In 2021 6th International Conference on Computer Science and Engineering (UBMK), pages 542–547. DOI: 10.1109/UBMK52708.2021.9559032
Larmo, A., Ratilainen, A., and Saarinen, J. (2019). Impact of coap and mqtt on nb-iot system performance. Sensors, 19(1). DOI: 10.3390/s19010007
Mukundarajan, H., Hol, F. J. H., Castillo, E. A., Newby, C., and Prakash, M. (2017). Using mobile phones as acoustic sensors for high-throughput mosquito surveillance. eLife, 6:e27854. DOI: 10.7554/eLife.27854
Paim, K., Silva, T., Dilly, J., Tavares, A., Cunha, M., Silva, O., Recamonde-Mendoza, M., Mansilha, R., and Cordeiro, W. (2025). Acoustic identification of aedes aegypti: Experimental assessment of different machine learning techniques. In Anais do LII Seminário Integrado de Software e Hardware, pages 1–12, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/semish.2025.6555
Paim, K. O., Rohweder, R., Recamonde-Mendoza, M., Mansilha, R. B., and Cordeiro, W. (2024). Acoustic identification of ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks. Biomedical Signal Processing and Control, 95:106342. DOI: 10.1016/j.bspc.2024.106342
Rodrigues, Y. d. F., Rodrigues, R. N., Paim, K. O., Kreutz, D., Cordeiro, W., and Mansilha, R. B. (2024). MosqMon: um sistema distribuído para captura de faixas de áudio para treinamento de RNAs detectoras de mosquito Ae. aegypti. In XXI Escola Regional de Redes de Computadores (ERRC). DOI: 10.5753/errc.2024.4713
Seoane, V., Garcia-Rubio, C., Almenares, F., and Campo, C. (2021). Performance evaluation of coap and mqtt with security support for iot environments. Computer Networks, 197:108338. DOI: 10.1016/j.comnet.2021.108338
Shelby, Z., Hartke, K., and Bormann, C. (2014). The Constrained Application Protocol (CoAP). Technical report, RFC Editor. DOI: 10.17487/RFC7252
Siddiqui, A. A. I. and Kayte, C. (2022). Mosquito tracking, classification, and identification: A glance at the technologies available. International Journal of Mosquito Research, 9(2):104–110. DOI: 10.22271/23487941.2022.v9.i2b.606
Souza, T., Neto, A. V., Rosário, D. L., Fontes, R. R., and Cerqueira, E. (2025). P4lowpan: Transforming iot networks with a programmable data plane and in-band telemetry. In 2025 International Wireless Communications and Mobile Computing (IWCMC), pages 14–19. DOI: 10.1109/IWCMC65282.2025.11059469
Buzura, S., Dadarlat, V., Peculea, A., Bertrand, H., and Chevalier, R. (2022). Simulation framework for 6lowpan networks using mininet-wifi. In 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), pages 1–5. DOI: 10.1109/AQTR55203.2022.9802017
Fontes, R. R., Afzal, S., Brito, S. H. B., Santos, M. A. S., and Rothenberg, C. E. (2015). Mininet-wifi: Emulating software-defined wireless networks. In 2015 11th International Conference on Network and Service Management (CNSM), pages 384–389. DOI: 10.1109/CNSM.2015.7367387
Gemirter, C. B., Şenturca, , and Baydere, (2021). A comparative evaluation of amqp, mqtt and http protocols using real-time public smart city data. In 2021 6th International Conference on Computer Science and Engineering (UBMK), pages 542–547. DOI: 10.1109/UBMK52708.2021.9559032
Larmo, A., Ratilainen, A., and Saarinen, J. (2019). Impact of coap and mqtt on nb-iot system performance. Sensors, 19(1). DOI: 10.3390/s19010007
Mukundarajan, H., Hol, F. J. H., Castillo, E. A., Newby, C., and Prakash, M. (2017). Using mobile phones as acoustic sensors for high-throughput mosquito surveillance. eLife, 6:e27854. DOI: 10.7554/eLife.27854
Paim, K., Silva, T., Dilly, J., Tavares, A., Cunha, M., Silva, O., Recamonde-Mendoza, M., Mansilha, R., and Cordeiro, W. (2025). Acoustic identification of aedes aegypti: Experimental assessment of different machine learning techniques. In Anais do LII Seminário Integrado de Software e Hardware, pages 1–12, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/semish.2025.6555
Paim, K. O., Rohweder, R., Recamonde-Mendoza, M., Mansilha, R. B., and Cordeiro, W. (2024). Acoustic identification of ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks. Biomedical Signal Processing and Control, 95:106342. DOI: 10.1016/j.bspc.2024.106342
Rodrigues, Y. d. F., Rodrigues, R. N., Paim, K. O., Kreutz, D., Cordeiro, W., and Mansilha, R. B. (2024). MosqMon: um sistema distribuído para captura de faixas de áudio para treinamento de RNAs detectoras de mosquito Ae. aegypti. In XXI Escola Regional de Redes de Computadores (ERRC). DOI: 10.5753/errc.2024.4713
Seoane, V., Garcia-Rubio, C., Almenares, F., and Campo, C. (2021). Performance evaluation of coap and mqtt with security support for iot environments. Computer Networks, 197:108338. DOI: 10.1016/j.comnet.2021.108338
Shelby, Z., Hartke, K., and Bormann, C. (2014). The Constrained Application Protocol (CoAP). Technical report, RFC Editor. DOI: 10.17487/RFC7252
Siddiqui, A. A. I. and Kayte, C. (2022). Mosquito tracking, classification, and identification: A glance at the technologies available. International Journal of Mosquito Research, 9(2):104–110. DOI: 10.22271/23487941.2022.v9.i2b.606
Souza, T., Neto, A. V., Rosário, D. L., Fontes, R. R., and Cerqueira, E. (2025). P4lowpan: Transforming iot networks with a programmable data plane and in-band telemetry. In 2025 International Wireless Communications and Mobile Computing (IWCMC), pages 14–19. DOI: 10.1109/IWCMC65282.2025.11059469
Publicado
21/10/2026
Como Citar
RODRIGUES, Yang da Fontoura; MANSILHA, Rodrigo Brandão.
Emulação de uma WSN WiFi para Monitoramento Acústico de Mosquitos. In: ESCOLA REGIONAL DE REDES DE COMPUTADORES (ERRC), 23. , 2026, Santa Maria/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 67-72.
DOI: https://doi.org/10.5753/errc.2026.36483.
