Abstract
The implementation of the Internet of Things paradigm in the most diverse environments is already a reality. One of these environments is the smart hospital that uses several devices to improve patient care and streamline the internal processes of hospitals. However, an obstacle in the use of IoT systems is the difficulty encountered by their user to change devices behaviours as their needs changes. When the users can not update, the system may be outdated. This leads to problems in the hospital which is a critical environment and needs everything to be working properly every time. A way to customize the behavior of IoT devices is the use of police that can be described in high-level programming language. For this reason, this paper proposes a solution that uses policy refinement to assist IoT device management in smart hospitals. The proposed solution was implemented and tested, achieving favorable results for the hospital scenario.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
Kafle, V.P., Fukushima, Y., Harai, H.: Internet of things standardization in ITU and prospective networking technologies. IEEE Commun. Mag. 54(9), 43–49 (2016)
Ahmed, E., Yaqoob, I., Gani, A., Imran, M., Guizani, M.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)
Dhariwal, K., Mehta, A.: Architecture and plan of smart hospital based on Internet of Things (IOT). Int. Res. J. Eng. Technol. 4, 1976–1980 (2017). e-ISSN 2395-0056
Barroca Filho, I.M., de Aquino Junior, G.S.: Proposing an IoT-based healthcare platform to integrate patients, physicians and ambulance services. In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10409, pp. 188–202. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62407-5_13
Reisinger, M.R., Schrammel, J., Fröhlich, P.: Visual languages for smart spaces : end-user programming between data-flow and form-filling, pp. 165–169 (2017)
Edgcomb, A.D., Vahid, F.: MNFL: the monitoring and notification flow language for assistive monitoring. In: Proceedings of the 2nd ACM SIGHIT Symposium International Health Informatics, IHI 2012, pp. 191–200 (2012). https://doi.org/10.1145/2110363.2110387
Ullah, M., Fiedler, M., Wac, K.: On the ambiguity of quality of service and quality of experience requirements for eHealth services. In: 2012 6th International Symposium Medical Information and Communication Technology, pp. 1–4 (2012). https://doi.org/10.1109/ISMICT.2012.6203030
Singh, J., Bacon, J.M.: On middleware for emerging health services. J. Internet Serv. Appl. 5, 1–19 (2014). https://doi.org/10.1186/1869-0238-5-6
Riekstin, A.C., Januario, G.C., Rodrigues, B.B., Nascimento, V.T., de Brito Carvalho, T.C.M., Meirosu, C.: A survey of policy refinement methods as a support for sustainable networks. IEEE Commun. Surv. Tutorials. 18, 222–235 (2016). https://doi.org/10.1109/COMST.2015.2463811
Ponte, F.R.P., Gomes, R.L.: IoT device programmable language customization for home automation. In: IEEE Symposium on Computers and Communications, pp. 168–173 (2018)
Ha, M., Lindh, T.: Distributed performance management of Internet of Things as a service for caregivers. In: 2017 IEEE 19th International Conference e-Health Networking, Applications and Services, pp. 1–6 (2017). https://doi.org/10.1109/HealthCom.2017.8210765
Patchava, V., Kandala, H.B., and Babu, P.R.: A smart home automation technique with Raspberry PI using IoT. In: International Conference on Smart Sensors and Systems. IEEE (2015)
Shete, R., Agrawal, S.: IoT based urban climate monitoring using Raspberry PI. In: International Conference on Communication and Signal Processing. IEEE (2016)
Quadri, S.A.I., Sathish, P.: IoT based home automation and surveillance system. In: International Conference on Intelligent Computing and Control Systems. IEEE (2017)
McKinney, W.: Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython, 1st edn. O’Reilly, Sebastopol (2012)
Anvisa: RESOLUTION-RE N\(^{\circ }\) 9. http://portal.anvisa.gov.br/documents/33880/2568070/RE_09_2003.pdf
Ebserh: Controle de Temperatura da Geladeira de Medicamento. http://www2.ebserh.gov.br/documents/147715/0/ROP_controle_temp_geladeira.pdf
ABNT: Iluminancia de interiores. http://ftp.demec.ufpr.br/disciplinas/TM802/NBR5413.pdf
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
de Castro, J.M., de Lima, L.F.F.P., Araújo, I., dos Anjos, E.G., Matos, F.M. (2019). Using Policy Refinement to Assist IoT Device Management in Smart Hospitals. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11623. Springer, Cham. https://doi.org/10.1007/978-3-030-24308-1_51
Download citation
DOI: https://doi.org/10.1007/978-3-030-24308-1_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24307-4
Online ISBN: 978-3-030-24308-1
eBook Packages: Computer ScienceComputer Science (R0)