Abstract
As the number of developed sensors is growing, new Internet of Things applications are being developed. Healthcare applications offer a perfect domain for Internet of Things since they respond to the challenge of the ageing population while offering safe and quality care in the home. We present in this paper a new Internet Of Things architecture for IoT healthcare applications. The architecture focuses mainly on the principles of weak coupling and of semantic data exchange. We present a software architecture based on a message oriented middleware driven by semantic OWL messages.
Keywords
- Home care
- Semantic representation
- Message oriented middleware (MOM)
- Internet-of-things
- Health applications
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
WHO: World Health Organization, http://www.who.int/ageing/en/.
References
Weber, R.H., Weber, R.: Internet of Things: Legal Perspectives, vol. 49. Springer Science & Business Media, Heidelberg (2010)
Doukas, C., Maglogiannis, I.: Bringing IoT and cloud computing towards pervasive healthcare. In: 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing. Institute of Electrical & Electronics Engineers (IEEE), July 2012
Lee, B.M., Ouyang, J.: Intelligent healthcare service by using collaborations between IoT personal health devices. IJBSBT 6(1), 155–164 (2014)
Miorandi, D., Sicari, S., De Pellegrini, F., Chlamtac, I.: Internet of things: vision applications and research challenges. Ad Hoc Netw. 10(7), 1497–1516 (2012)
Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
Dohr, A., Modre-Opsrian, R., Drobics, M., Hayn, D., Schreier, G.: The Internet of Things for ambient assisted living. In: 2010 Seventh International Conference on Information Technology: New Generations. Institute of Electrical & Electronics Engineers (IEEE) (2010)
Razzaque, M., Milojevic-Jevric, M., Palade, A., Clarke, S.: Middleware for Internet of Things: a survey, January 2016
Pfisterer, D., Romer, K., Bimschas, D., Kleine, O., Mietz, R., Truong, C., Hasemann, H., Krller, A., Pagel, M., Hauswirth, M., Karnstedt, M., Leggieri, M., Passant, A., Richardson, R.: SPITFIRE: toward a semantic web of things. IEEE Commun. Mag. 49(11), 40–48 (2011)
Rothwell, D.J., Cote, R.A.: Managing information with SNOMED: understanding the model. In: Proceedings of the AMIA Annual Fall Symposium, p. 80. American Medical Informatics Association (1996)
Zgheib, R., Bastide, R., Conchon, E.: A semantic web-of-things architecture for monitoring the risk of bedsores (regular paper). In: International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, USA, 07/12/15-09/12/15. IEEE, Dcembre 2015. http://www.ieee.org/
Compton, M., Barnaghi, P., Bermudez, L., García-Castro, R., Corcho, O., Cox, S., Graybeal, J., Hauswirth, M., Henson, C., Herzog, A., Huang, V., Janowicz, K., Kelsey, W.D., Phuoc, D.L., Lefort, L., Leggieri, M., Neuhaus, H., Nikolov, A., Page, K., Passant, A., Sheth, A., Taylor, K.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012)
Bendadouche, R., Roussey, C., De Sousa, G., Chanet, J.P., Hou, K.M., Hou, K.M.: Extension of the semantic sensor network ontology for wireless sensor networks: the stimulus-WSNnode-communication pattern. In: 5th International Workshop on Semantic Sensor Networks in conjunction with the 11th International Semantic Web Conference (ISWC), November 2012, Boston, United States (2013)
Roda, F., Musulin, E.: An ontology-based framework to support intelligent data analysis of sensor measurements. Expert Syst. Appl. 41(17), 7914–7926 (2014)
Miluzzo, E., Lane, N.D., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S.B., Zheng, X., Campbell, A.T.: Sensing meets mobile social networks. In: Proceedings of the 6th ACM Conference on Embedded network sensor systems - SenSys 2008. Association for Computing Machinery (ACM) (2008)
Brouwers, N., Langendoen, K.: Pogo, a middleware for mobile phone sensing. In: Narasimhan, P., Triantafillou, P. (eds.) Middleware 2012. LNCS, vol. 7662, pp. 21–40. Springer, Heidelberg (2012). doi:10.1007/978-3-642-35170-9_2
Antonic, A., Marjanovic, M., Pripuzic, K., Zarko, I.P.: A mobile crowd sensing ecosystem enabled by CUPUS: cloud-based publish/subscribe middleware for the Internet of Things. Fut. Gener. Comput. Syst. 56, 607–622 (2015)
Antonic, A., Marjanovic, M., Skocir, P., Zarko, I.P.: Comparison of the CUPUS middleware and MQTT protocol for smart city services. In: 2015 13th International Conference on Telecommunications (ConTEL). Institute of Electrical & Electronics Engineers (IEEE), July 2015
Song, Z., Cárdenas, A.A., Masuoka, R.: Semantic middleware for the internet of things. In: 2010 Internet of Things, IoT 2010 (2010)
Rodríguez-Molina, J., Martínez, J.F., Castillejo, P., De Diego, R.: SMArc: a proposal for a smart, semantic middleware architecture focused on smart city energy management. Int. J. Distrib. Sens. Netw. (2013)
Delicato, F.C., Pires, P.F., Batista, T.: Middleware Solutions for the Internet of Things. Springer, London (2013)
Alaya, B.M., Banouar, Y., Monteil, T., Chassot, C., Drira, K.: OM2M: extensible ETSI-compliant M2M service platform with self-configuration capability. Procedia Comput. Sci. 32, 1079–1086 (2014)
Kim, J., Lee, J.-W.: OpenIoT: an open service framework for the Internet of Things. In: 2014 IEEE World Forum on Internet of Things (WF-IoT). Institute of Electrical & Electronics Engineers (IEEE), March 2014
Webster, J.G.: Prevention of Pressure Sores: Engineering and Clinical Aspects. CRC Press, Boca Raton (1991)
Acknowledgments
The work of Rita Zgheib is supported by a grant from Region Midi-Pyrnes and University Champollion.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zgheib, R., Conchon, E., Bastide, R. (2017). Engineering IoT Healthcare Applications: Towards a Semantic Data Driven Sustainable Architecture. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-49655-9_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49654-2
Online ISBN: 978-3-319-49655-9
eBook Packages: Computer ScienceComputer Science (R0)