Unindo Aplicações Críticas e Sensores IoT com QoS Individual e Adaptativo em Hospitais Inteligentes
Resumo
Com a utilização de sensores inteligentes em hospitais, tomadas de decisões críticas podem ser realizadas baseadas no monitoramento em tempo real de pacientes e equipamentos. Porém, erros na geração e transmissão de dados podem causar falhas no resultado de aplicações que processam esses dados. Neste contexto, esse artigo propõem HealthStack, um middleware para salas cirúrgicas com estratégias de qualidade do serviço (QoS) e suporte a transmissão de dados em tempo real. O artigo propõe uma estratégia de QoS baseada em neurônios artificiais para seleção dos componentes do middleware com baixa performance. Foi desenvolvido e testado um protótipo do modelo em uma sala de cirurgia real possibilitando redução de jitter médio em até 90,3%.Referências
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Sodhro, A. H., Luo, Z., Sangaiah, A. K., and Baik, S. W. (2019). Mobile edge computing based qos optimization in medical healthcare applications. Int. Journal of Information Management, 45:308 – 318.
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Wang, J., Sun, Y., and Ji, Y. (2018). Qos-based adaptive power control scheme for co-located wbans: a cooperative bargaining game theoretic perspective. Wireless Networks, 24(8):3129–3139.
Wang, Q. et al. (2019). Enable advanced qos-aware network slicing in 5g networks for slice-based media use cases. IEEE Transactions on Broadcasting, 65(2):444–453.
Zitta, T., Neruda, M., Kozak, M., and Vojtech, L. (2018). Multi-channel access to improve qwl in health care services - infrastructure based qos ensurance in iot. In 2018 Int. Symposium ELMAR, pages 7–10.
Al-Tarawneh, L. A. (2019). Medical grade qos improvement using ieee802.11e wlan protocol. In Al-Masri, A. and Curran, K., editors, Smart Technologies and Innovation for a Sustainable Future, pages 229–235, Cham. Springer Int. Publishing.
Bai, T., Lin, J., Li, G., Wang, H., Ran, P., Li, Z., Pang, Y., Wu, W., and Jeon, G. (2019). An optimized protocol for qos and energy efciency on wireless body area networks. Peer-to-Peer Networking and Applications, 12(2):326–336.
Barbosa, V., Ferreira, H., Gomes, L., Gomes, F., Barreto, I., Monteiro, O., and Oliveira, M. (2020). Smartres - uma plataforma iot para monitoramento inteligente em saúde In Anais do XX Simpósio Brasileiro de e sua aplicação no contexto da covid-19. Computação Aplicada à Saúde, pages 297–307, Porto Alegre, RS, Brasil. SBC.
Behnel, S., Fiege, L., and Muhl, G. (2006). On quality-of-service and publish-subscribe. In 26th IEEE Int. Conf. on Dist. Comp. Sys. Workshops (ICDCSW’06), pages 20–20.
Celdrán, A. H., García Clemente, F. J., Weimer, J., and Lee, I. (2018). Ice++: Improving security, qos, and high availability of medical cyber-physical systems through mobile edge comp. In 2018 IEEE 20th Int. Conf. on e-Health Networking, Applications and Services (Healthcom), pages 1–8.
Gatouillat, A., Badr, Y., and Massot, B. (2018). Qos-driven self-adaptation for critical iot- based systems. In Braubach, L., Murillo, J. M., Kaviani, N., Lama, M., Burgue˜no, L., Moha, N., and Oriol, M., editors, Service-Oriented Comp. – ICSOC 2017 Workshops, pages 93–105, Cham. Springer Int. Publishing.
Goyal, R., Patel, R., Bhaduria, H., and Prasad, D. (2020). An energy efcient qos suppor- ted optimized transmission rate technique in wbans. Wireless Pers. C., pages 1–26.
Guezguez, M. J., Rekhis, S., and Boudriga, N. (2018). A sensor cloud for the provision of secure and qos-aware healthcare services. Arabian Journal for Science and Eng., 43(12):7059–7082.
Iranmanesh, S. A. and Rizi, F. Y. (2018). Qos provisioning for multiple co-existing body sensor networks. In Electrical Eng. (ICEE), Iranian Conf. on, pages 1595–1600.
Khalil, A., Mbarek, N., and Togni, O. (2019). Iot service qos guarantee using qbaiot wireless access method. In Renault, íE., Boumerdassi, S., and Bouzefrane, S., editors, Mobile, Secure, and Prog. Net., pages 157–173, Cham. Springer Int. Publishing.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Technical report, Keele University.
Mukhopadhyay, A. (2017). Qos based telemedicine technologies for rural healthcare emergencies. In 2017 IEEE Global Humanitarian Tech. Conf. (GHTC), pages 1–7.
Munirathinam, S. (2020). Chapter six - industry 4.0: Industrial internet of things (iiot). In Raj, P. and Evangeline, P., editors, The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, volume 117 of Advances in Computers, pages 129–164. Elsevier.
Nanda, P. and Fernandes, R. C. (2007). Quality of service in telemedicine. In First Int. Conf. on the Digital Society (ICDS’07), pages 2–2.
Nielsen, M. A. (2015). Neural Networks and Deep Learning, volume 2018. Determination Press San Francisco, CA, USA:.
Oztemel, E. and Gursev, S. (2020). Literature review of industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1):127–182.
Samanta, A., Li, Y., and Chen, S. (2018). Qos-aware heuristic scheduling with delay-constraint for wbsns. In 2018 IEEE Int. Conf. on Communications (ICC), pages 1–7.
Samanta, A. and Misra, S. (2018). Dynamic connectivity establishment and cooperative scheduling for qos-aware wireless body area networks. IEEE Transactions on Mobile Comp., 17(12):2775–2788.
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., and Gidlund, M. (2018). Industrial internet of things: Challenges, opportunities, and directions. IEEE Transactions on Industrial Informatics, 14(11):4724–4734.
Sodhro, A. H., Luo, Z., Sangaiah, A. K., and Baik, S. W. (2019). Mobile edge computing based qos optimization in medical healthcare applications. Int. Journal of Information Management, 45:308 – 318.
Venkatesh, K., Srinivas, L., Krishnan, M. M., and Shanthini, A. (2019). Qos improvisa- tion of delay sensitive communication using sdn based multipath routing for medical applications. Future Generation Computer Sys., 93:256 – 265.
Wang, J., Sun, Y., and Ji, Y. (2018). Qos-based adaptive power control scheme for co-located wbans: a cooperative bargaining game theoretic perspective. Wireless Networks, 24(8):3129–3139.
Wang, Q. et al. (2019). Enable advanced qos-aware network slicing in 5g networks for slice-based media use cases. IEEE Transactions on Broadcasting, 65(2):444–453.
Zitta, T., Neruda, M., Kozak, M., and Vojtech, L. (2018). Multi-channel access to improve qwl in health care services - infrastructure based qos ensurance in iot. In 2018 Int. Symposium ELMAR, pages 7–10.
Publicado
15/06/2021
Como Citar
RODRIGUES, Vinicius F.; POLICARPO, Lucas M.; RIGHI, Rodrigo da R.; COSTA, Cristiano A. da.
Unindo Aplicações Críticas e Sensores IoT com QoS Individual e Adaptativo em Hospitais Inteligentes. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO APLICADA À SAÚDE (SBCAS), 21. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 153-164.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2021.16061.
