Abstract
Purpose. Smart technologies are now being integrated into many places and buildings. Different technologies use their own cloud services, which are suitable for use in a smart home but whose use might be problematic in a building with a higher density of persons, such as a hotel. The purpose of this research is to design and create an architecture for a smart control system that can be used in a hotel environment.
Methodology. The current trends of using different cloud services in the smart environment are discussed, and the pros and cons of these solutions are outlined. The functionality of our smart control system is based on possible smart hotel scenarios.
Findings. The use of different cloud services in the smart hotel environment might be very demanding for the connection resources. There are also issues with the apps/devices that control the systems because they are designed to control smart homes and they are not designed for hotel rooms. A regular change of user might also be problematic. Based on these findings, our smart control system has been designed with a three layer architecture.
Value. The value of this research is to propose an architecture for a smart system that can be used in a smart hotel environment. The designed system focuses on privacy, the possibility of connecting many rooms that can be controlled independently, and the speed of the system’s responses.
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
Abb (2017). http://new.abb.com/future/smarthome
Loxone (2017). https://www.loxone.com/enen/
Meet the nest learning thermostat (2017). https://nest.com/thermostats/nest-learning-thermostat/overview/
Wireless and smart lighting by philips—meet hue (2017). http://www2.meethue.com/en-us
Cetina, C., Giner, P., Fons, J., Pelechano, V.: Prototyping dynamic software product lines to evaluate run-time reconfigurations. Sci. Comput. Program. 78(12), 2399–2413 (2013)
Chen, M., Wan, J., Gonzalez, S., Liao, X., Leung, V.C.: A survey of recent developments in home M2M networks. IEEE Commun. Surv. Tutorials 16(1), 98–114 (2014)
Cimler, R., Matyska, J., Balík, L., Horalek, J., Sobeslav, V.: Security issues of mobile application using cloud computing. In: Abraham, A., Krömer, P., Snasel, V. (eds.) Afro-European Conference for Industrial Advancement. AISC, vol. 334, pp. 347–357. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-13572-4_29
Clauser, G.: What is Alexa? what is the Amazon echo, and should you get one? The Wirecutter, 14 (2016)
Fibaro Department: Fibaro—home automation - home intelligence - smart home (2017). https://www.fibaro.com/en/
Díaz, M., Martín, C., Rubio, B.: State-of-the-art, challenges, and open issues in the integration of internet of things and cloud computing. J. Netw. Comput. Appl. 67, 99–117 (2016)
Gomez, C., Oller, J., Paradells, J.: Overview and evaluation of bluetooth low energy: an emerging low-power wireless technology. Sensors 12(12), 11734–11753 (2012)
Horálek, J., Matyska, J., Stepan, J., Vancl, M., Cimler, R., Sobĕslav, V.: Lower layers of a cloud driven smart home system. In: Barbucha, D., Nguyen, N.T., Batubara, J. (eds.) New Trends in Intelligent Information and Database Systems. SCI, vol. 598, pp. 219–228. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16211-9_23
Jezbera, D., Kriz, J., Rajsner, J., Studnicka, F., Seba, P.: Results of geometric ballistocardiography. Int. J. Circ. Syst. Sig. Process. 8, 149–153 (2014)
Kriz, P., Maly, F., Kozel, T.: Improving indoor localization using Bluetooth low energy beacons. Mob. Inf. Syst. 2016, 11 p. (2016). https://doi.org/10.1155/2016/2083094. Article ID 2083094. http://downloads.hindawi.com/journals/misy/2016/2083094.pdf
Mikulecky, P., Cimler, R.: Simulating decision processes in intelligent environments. In: 2016 Workshop Proceedings of the 12th International Conference on Intelligent Environments, vol. 21, p. 24. IOS Press (2016)
Racko, J., Brida, P., Machaj, J., Krejcar, O.: Path estimation from smartphone sensors. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q.T. (eds.) Modern Approaches for Intelligent Information and Database Systems. SCI, vol. 769, pp. 435–443. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76081-0_37
Stepan, J., Matyska, J., Cimler, R., Horalek, J.: Low level communication protocol and hardware for wired sensor networks. J. Telecommun. Electron. Comput. Eng. (JTEC) 9(2–4), 53–57 (2017)
Studnička, F., Šeba, P., Jezbera, D., Kříž, J.: Continuous monitoring of heart rate using accelerometric sensors. In: 2012 35th International Conference on Telecommunications and Signal Processing (TSP), pp. 559–561. IEEE (2012)
Ur, B., et al.: Trigger-action programming in the wild: an analysis of 200,000 IFTTT recipes. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 3227–3231. ACM (2016)
Wu, S., et al.: Survey on prediction algorithms in smart homes. IEEE Internet Things J. 4(3), 636–644 (2017)
Acknowledgment
This work was supported by the FIM UHK under Grant of Specific Research Project “Information and knowledge management and cognitive science in tourism”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Stepan, J., Cimler, R., Krejcar, O. (2018). Automation System Architecture for a Smart Hotel. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11056. Springer, Cham. https://doi.org/10.1007/978-3-319-98446-9_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-98446-9_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-98445-2
Online ISBN: 978-3-319-98446-9
eBook Packages: Computer ScienceComputer Science (R0)