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PESSHIoT: Smart Platform for Monitoring and Controlling Smart Home Devices and Sensors

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Technologies and Innovation (CITI 2019)

Abstract

The Internet of Things (IoT) allows for the development of a wide range of products, useful in everyday life in contexts such as education, health, trade, tourism, agriculture, environment, and home, among others. In the home context, domotics emerged as a set of smart home automation systems controlling nearly everything in a house – e.g. lights, appliances, electrical outlets, cooling systems. To this end, domotic systems collect information through sensors and execute a series of tasks accordingly. Domotic systems have numerous advantages, including safety, comfort, and efficient energy consumption, among others. Nowadays, many applications can control smart home devices, yet in technology monitoring, applications giving comfort and energy saving recommendations based on user behavior patterns have not yet been developed. To address this gap, we propose a technological platform for monitoring and controlling smart home devices and sensors. The platform can provide users automatic recommendations for increased comfort at home and efficient energy consumption. Finally, this platform combines different approaches and technologies such as semantic Web, collaborative filtering, and web/mobile application development.

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References

  1. Resnick, P., Varian, H.R.: Recommender systems. Commun. ACM. 40, 56–58 (1997)

    Article  Google Scholar 

  2. Herrera-Viedma, E., Herrera, F., Martı́nez, L., Herrera, J.C., López, A.G.: Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web. Fuzzy Sets Syst. 148, 61–83 (2004). https://doi.org/10.1016/j.fss.2004.03.006

    Article  MathSciNet  Google Scholar 

  3. Anil, R., Owen, S., Dunning, T., Friedman, E.: Mahout in Action. Manning Publications Co., Shelter Island (2011)

    Google Scholar 

  4. Lee, S., Caytiles, R.D., Lee, S.: A study of the architectural design of smart homes based on hierarchical wireless multimedia management systems. Int. J. Control Autom. 6(6), 261–266 (2013). https://doi.org/10.14257/ijca.2013.6.6.25

    Article  Google Scholar 

  5. Adiono, T., Putra, R.V.W., Fathany, M.Y., Wibisono, M.A., Adijarto, W.: Smart home platform based on optimized wireless sensor network protocol and scalable architecture. In: 2015 9th International Conference on Telecommunication Systems Services and Applications (TSSA), pp. 1–5 (2015). https://doi.org/10.1109/tssa.2015.7440441

  6. Lee, N., Lee, H., Lee, H., Ryu, W.: Implementation of smart home service over web of object architecture. In: 2015 International Conference on Information and Communication Technology Convergence (ICTC), pp. 1215–1219 (2015). https://doi.org/10.1109/ictc.2015.7354778

  7. Zhou, C., Huang, W., Zhao, X.: Study on architecture of smart home management system and key devices. In: 2013 3rd International Conference on Computer Science and Network Technology (ICCSNT), pp. 1255–1258 (2013). https://doi.org/10.1109/iccsnt.2013.6967330

  8. Tao, M., Zuo, J., Liu, Z., Castiglione, A., Palmieri, F.: Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes. Futur. Gener. Comput. Syst. 78, 1040–1051 (2018). https://doi.org/10.1016/j.future.2016.11.011

    Article  Google Scholar 

  9. Iqbal, A., et al.: Interoperable internet-of-things platform for smart home system using web-of-objects and cloud. Sustain. Cities Soc. 38, 636–646 (2018). https://doi.org/10.1016/j.scs.2018.01.044

    Article  Google Scholar 

  10. Chauhan, M.A., Babar, M.A.: Using reference architectures for design and evaluation of web of things systems: a case of smart homes domain. In: Managing the Web of Things, pp. 205–228. Elsevier (2017). https://doi.org/10.1016/B978-0-12-809764-9.00009-3

    Chapter  Google Scholar 

  11. Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, pp. 270–275 (2004)

    Google Scholar 

  12. Kim, E., Choi, J.: An ontology-based context model in a smart home. In: Gavrilova, M.L., et al. (eds.) ICCSA 2006. LNCS, vol. 3983, pp. 11–20. Springer, Heidelberg (2006). https://doi.org/10.1007/11751632_2

    Chapter  Google Scholar 

  13. Bonino, D., Corno, F.: Dogont - ontology modeling for intelligent domotic environments. In: Sheth, A., et al. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 790–803. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88564-1_51

    Chapter  Google Scholar 

  14. Xu, J., et al.: Ontology-based smart home solution and service composition. In: 2009 International Conference on Embedded Software and Systems, pp. 297–304. IEEE (2009). https://doi.org/10.1109/icess.2009.60

  15. Valiente-Rocha, P.A., Lozano-Tello, A.: Ontology-based expert system for home automation controlling. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds.) IEA/AIE 2010. LNCS (LNAI), vol. 6096, pp. 661–670. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13022-9_66

    Chapter  Google Scholar 

  16. Wongpatikaseree, K., Ikeda, M., Buranarach, M., Supnithi, T., Lim, A.O., Tan, Y.: Activity recognition using context-aware infrastructure ontology in smart home domain. In: 2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems, pp. 50–57. IEEE (2012). https://doi.org/10.1109/kicss.2012.26

  17. Compton, M., et al.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012). https://doi.org/10.1016/j.websem.2012.05.003

    Article  Google Scholar 

  18. Berat Sezer, O., Can, S.Z., Dogdu, E.: Development of a smart home ontology and the implementation of a semantic sensor network simulator: an internet of things approach. In: 2015 International Conference on Collaboration Technologies and Systems (CTS), pp. 12–18. IEEE (2015). https://doi.org/10.1109/cts.2015.7210389

  19. Lyazidi, A., Mouline, S.: ONDAR: an ontology for home automation. In: 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA), pp. 260–265. IEEE (2015). https://doi.org/10.1109/isda.2015.7489235

  20. Alirezaie, M., et al.: An ontology-based context-aware system for smart homes: e-care@home. Sensors 17, 1586 (2017). https://doi.org/10.3390/s17071586

    Article  Google Scholar 

  21. Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: from ontological art towards ontological engineering. In: Proceedings of the Ontological Engineering AAAI-97 Spring Symposium Series, March 1997, pp. 24–26. Stanford University, EEUU (1997)

    Google Scholar 

  22. Thorat, P.B., Goudar, R.M., Barve, S.: Survey on collaborative filtering, content-based filtering and hybrid recommendation system. Int. J. Comput. Appl. 110(4), 31–36 (2015)

    Google Scholar 

  23. Wei, J., He, J., Chen, K., Zhou, Y., Tang, Z.: Collaborative filtering and deep learning based recommendation system for cold start items. Expert Syst. Appl. 69, 29–39 (2017). https://doi.org/10.1016/j.eswa.2016.09.040

    Article  Google Scholar 

  24. Harrati, N., Bouchrika, I., Tari, A., Ladjailia, A.: Exploring user satisfaction for e-learning systems via usage based metrics and system usability scale analysis. Comput. Hum. Behav. 61, 463–471 (2016). https://doi.org/10.1016/j.chb.2016.03.051

    Article  Google Scholar 

  25. Kaya, A., Ozturk, R., Altin Gumussoy, C.: Usability measurement of mobile applications with system usability scale (SUS). In: Calisir, F., Cevikcan, E., Camgoz Akdag, H. (eds.) Industrial Engineering in the Big Data Era. LNMIE, pp. 389–400. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-03317-0_32

    Chapter  Google Scholar 

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Acknowledgments

This work was supported by Tecnológico Nacional de México (TecNM) and sponsored by the National Council of Science and Technology (CONACYT), the Secretariat of Public Education (SEP) through PRODEP (Programa para el Desarrollo Profesional Docente) and the Sistema de Universidades Estatales de Oaxaca (SUNEO).

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Correspondence to Isaac Machorro-Cano .

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Machorro-Cano, I., Paredes-Valverde, M.A., Alor-Hernandez, G., del Pilar Salas-Zárate, M., Segura-Ozuna, M.G., Sánchez-Cervantes, J.L. (2019). PESSHIoT: Smart Platform for Monitoring and Controlling Smart Home Devices and Sensors. In: Valencia-García, R., Alcaraz-Mármol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2019. Communications in Computer and Information Science, vol 1124. Springer, Cham. https://doi.org/10.1007/978-3-030-34989-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-34989-9_11

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