Unindo Aplicações Críticas e Sensores IoT com QoS Individual e Adaptativo em Hospitais Inteligentes

• Vinicius F. Rodrigues UNISINOS
• Lucas M. Policarpo UNISINOS
• Rodrigo da R. Righi UNISINOS
• Cristiano A. da Costa UNISINOS

DOI: https://doi.org/10.5753/sbcas.2021.16061

Abstract

With smart sensors in hospitals, critical decision-making can take place based on patients and equipment real-time monitoring. However, problems in generating and transmitting data can cause failures on applications that process this data. In this context, this article proposes HealthStack, a middleware for operating rooms with quality of service (QoS) strategies and support for real-time data transmission. We also present a QoS strategy based on artificial neurons to select middleware components with critical performance. We developed a prototype of the model and tested it in an actual operating room achieving jitter reduction up to 90.3%.

References

Aceto, G., Persico, V., and Pescapé, A. (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18:100129.

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.