Avaliação de Dependabilidade e Análise de Sensibilidade de um Sistema de Cuidado Inteligente para Idosos

  • Lucas Silva Lopes UFPI
  • José Miqueias Araújo UFPI
  • Luiz Nelson Lima UFPI
  • Vandirleya Barbosa UFPI
  • Arthur Sabino UFPI
  • Luis Guilherme Silva UFPI
  • Leonel Feitosa UFPI
  • Geraldo P. Rocha Filho UESB
  • Francisco Airton Silva UFPI

Resumo


O envelhecimento populacional exige tecnologias avançadas para monitoramento remoto de idosos. Este trabalho emprega IoT e dispositivos vestíveis para coleta e análise de dados fisiológicos em tempo real. Redes de Petri Estocásticas (SPN) foram usadas para avaliar a confiabilidade e disponibilidade do sistema, identificando vulnerabilidades antes da implementação. A análise revelou que a conectividade WiFi é o principal fator crítico para a disponibilidade, impactando o tempo de inatividade. Essa abordagem busca auxiliar os projetistas de sistemas na otimização e ajustes no design de sistema.

Referências

Alsadoon, A., Al-Naymat, G., and Jerew, O. D. (2024). An architectural framework of elderly healthcare monitoring and tracking through wearable sensor technologies. Multimedia Tools and Applications, pages 1–46.

Antony, J. (2023). Design of experiments for engineers and scientists. Elsevier.

Araujo, C., Silva, F., Costa, I., Vaz, F., Kosta, S., and Maciel, P. (2016). Supporting availability evaluation in mcc-based mhealth planning. Electronics Letters, 52(20):1663–1665.

Balbo, G. (2000). Introduction to stochastic petri nets. In School organized by the European Educational Forum, pages 84–155. Springer.

De Simone, L., Di Mauro, M., Natella, R., and Postiglione, F. (2024). Performance and availability challenges in designing resilient 5g architectures. IEEE Transactions on Network and Service Management, 21(5):5291–5303.

Lima, L. N., Sabino, A., Barbosa, V., Feitosa, L., Brito, C., Araujo, J., and Silva, F. A. (2024). Dependability analysis and disaster recovery measures in smart hospital systems. Journal of Reliable Intelligent Environments, pages 1–17.

Maciel, P., Matos, R., Silva, B., Figueiredo, J., Oliveira, D., Fé, I., Maciel, R., and Dantas, J. (2017). Mercury: Performance and dependability evaluation of systems with exponential, expolynomial, and general distributions. In 2017 IEEE 22nd Pacific Rim international symposium on dependable computing (PRDC), pages 50–57. IEEE.

Majumder, S., Aghayi, E., Noferesti, M., Memarzadeh-Tehran, H., Mondal, T., Pang, Z., and Deen, M. J. (2017). Smart homes for elderly healthcare—recent advances and research challenges. Sensors, 17(11):2496.

Montgomery, D. C. (2017). Design and analysis of experiments. John wiley & sons.

Nguyen, T. A., Fe, I., Brito, C., Kaliappan, V. K., Choi, E., Min, D., Lee, J. W., and Silva, F. A. (2021a). Performability evaluation of load balancing and fail-over strategies for medical information systems with edge/fog computing using stochastic reward nets. Sensors, 21(18):6253.

Nguyen, T. A., Min, D., Choi, E., and Lee, J.-W. (2021b). Dependability and security quantification of an internet of medical things infrastructure based on cloud-fog-edge continuum for healthcare monitoring using hierarchical models. IEEE Internet of Things Journal, 8(21):15704–15748.

Proniewska, K., Pregowska, A., and Malinowski, K. (2021). Identification of human vital functions directly relevant to the respiratory system based on the cardiac and acoustic parameters and random forest. Irbm, 42(3):174–179.

Rocha, P., Pinheiro, T., Macedo, R., and Silva, F. A. (2019). 10gbe network card performance evaluation: A strategy based on sensitivity analysis. In 2019 IEEE Latin-American Conference on Communications (LATINCOM), pages 1–6. IEEE.

Rodrigues, L., Gonçalves, I., Fé, I., Endo, P. T., and Silva, F. A. (2021). Performance and availability evaluation of an smart hospital architecture. Computing, 103:2401–2435.

Santos, B., Soares, A., Nguyen, T.-A., Min, D.-K., Lee, J.-W., and Silva, F.-A. (2021). Iot sensor networks in smart buildings: A performance assessment using queuing models. Sensors, 21(16):5660.

Santos, G. L., Gomes, D., Kelner, J., Sadok, D., Silva, F. A., Endo, P. T., and Lynn, T. (2020). The internet of things for healthcare: Optimising e-health system availability in the fog and cloud. International Journal of Computational Science and Engineering, 21(4):615–628.

Silva, F. A., Brito, C., Araújo, G., Fé, I., Tyan, M., Lee, J.-W., Nguyen, T. A., and Maciel, P. R. M. (2022). Model-driven impact quantification of energy resource redundancy and server rejuvenation on the dependability of medical sensor networks in smart hospitals. Sensors, 22(4):1595.

Sivaparthipan, C. and Karthick, M. (2023). Accessibility study of mhealth systems based on the internet of things (iot). Tamjeed Journal of Healthcare Engineering and Science Technology, 1(1):14–23.

Tang, S. and Xie, Y. (2021). Availability modeling and performance improving of a healthcare internet of things (iot) system. IoT, 2(2):310–325.

Tun, S. Y. Y., Madanian, S., and Mirza, F. (2021). Internet of things (iot) applications for elderly care: a reflective review. Aging clinical and experimental research, 33:855–867.

Valentim, T., Callou, G., Vinicius, A., França, C., and Tavares, E. (2023). Availability assessment of internet of medical things architecture using private cloud. In Anais do L Seminário Integrado de Software e Hardware, pages 13–23. SBC.

World Health Organization. Ageing. [Online; accessed 30-June-2024].
Publicado
20/07/2025
LOPES, Lucas Silva et al. Avaliação de Dependabilidade e Análise de Sensibilidade de um Sistema de Cuidado Inteligente para Idosos. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 52. , 2025, Maceió/AL. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 263-274. ISSN 2595-6205. DOI: https://doi.org/10.5753/semish.2025.8412.