Dependability Evaluation and Sensitivity Analysis of a Smart Care System for the Elderly
Abstract
The aging population demands advanced technologies for remote monitoring of the elderly. This work uses IoT and wearable devices to collect and analyze physiological data in real time. Stochastic Petri Nets (SPN) were used to assess the reliability and availability of the system, identifying vulnerabilities before implementation. The analysis revealed that WiFi connectivity is the main critical factor for availability, impacting downtime. This approach aims to assist system designers in optimizing and adjusting system designs.References
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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.
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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].
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].
Published
2025-07-20
How to Cite
LOPES, Lucas Silva et al.
Dependability Evaluation and Sensitivity Analysis of a Smart Care System for the Elderly. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (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.
