{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T04:44:12Z","timestamp":1788324252829,"version":"build-2803163510"},"reference-count":19,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T00:00:00Z","timestamp":1552348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004569","name":"Ministerstwo Nauki i Szkolnictwa Wyzszego","doi-asserted-by":"publisher","award":["0080\/DIA\/2016\/45"],"award-info":[{"award-number":["0080\/DIA\/2016\/45"]}],"id":[{"id":"10.13039\/501100004569","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Rapid development and conducted experiments in the field of the introduction the fifth generation of the mobile network standard allow for the flourishing of the Internet of Things. This is one of the most important reasons to design and test systems that can be implemented to increase the quality of our lives. In this paper, we propose a system model for managing tasks in smart homes using multi-agent solutions. The proposed solution organizes work and distributes tasks to individual family members. An additional advantage is the introduction of gamification, not only between household members, but also between families. The solution was tested to simulate the entire solution as well as the individual components that make up the system. The proposal is described with regard to the possibility of implementing smart homes in future projects.<\/jats:p>","DOI":"10.3390\/s19051249","type":"journal-article","created":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T04:07:37Z","timestamp":1552450057000},"page":"1249","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Multi-Agent Gamification System for Managing Smart Homes"],"prefix":"10.3390","volume":"19","author":[{"given":"Alicja","family":"Winnicka","sequence":"first","affiliation":[{"name":"Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karolina","family":"K\u0119sik","sequence":"additional","affiliation":[{"name":"Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1972-5979","authenticated-orcid":false,"given":"Dawid","family":"Po\u0142ap","sequence":"additional","affiliation":[{"name":"Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9073-5347","authenticated-orcid":false,"given":"Marcin","family":"Wo\u017aniak","sequence":"additional","affiliation":[{"name":"Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6593-7158","authenticated-orcid":false,"given":"Zbigniew","family":"Marsza\u0142ek","sequence":"additional","affiliation":[{"name":"Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1109\/JSAC.2016.2525418","article-title":"Internet of Things in the 5G Era: Enablers, Architecture, and Business Models","volume":"34","author":"Palattella","year":"2016","journal-title":"IEEE J. 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Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes. Sensors, 18.","DOI":"10.3390\/s18030817"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1016\/j.future.2016.11.011","article-title":"Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes","volume":"78","author":"Tao","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1016\/j.rser.2018.05.057","article-title":"Smart homes and the control of indoor air quality","volume":"94","author":"Schieweck","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Benzi, F., Cabitza, F., Fogli, D., Lanzilotti, R., and Piccinno, A. (2015, January 11\u201313). Gamification techniques for rule management in ambient intelligence. Proceedings of the European Conference on Ambient Intelligence, Athens, Greece.","DOI":"10.1007\/978-3-319-26005-1_25"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Fogli, D., Lanzilotti, R., Piccinno, A., and Tosi, P. (2016, January 7\u201310). AmI@ Home: A game-based collaborative system for smart home configuration. Proceedings of the International Working Conference on Advanced Visual Interfaces, Bari, Italy.","DOI":"10.1145\/2909132.2926083"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1016\/j.future.2015.09.003","article-title":"A risk analysis of a smart home automation system","volume":"56","author":"Jacobsson","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez, S., Gil, O., De La Prieta, F., Zato, C., Corchado, J.M., Vega, P., and Francisco, M. (2010, January 5\u20137). People detection and stereoscopic analysis using MAS. Proceedings of the 2010 IEEE 14th International Conference on Intelligent Engineering Systems, Las Palmas, Spain.","DOI":"10.1109\/INES.2010.5483855"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Rom\u00e1n, J.A., Rodr\u00edguez, S., and de la Prieta, F. (2016, January 1\u20133). Improving the distribution of services in MAS. Proceedings of the International Conference on Practical Applications of Agents and Multi-Agent Systems, Sevilla, Spain.","DOI":"10.1007\/978-3-319-39387-2_4"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"de la Prieta, F., Navarro, M., Garc\u00eda, J.A., Gonz\u00e1lez, R., and Rodr\u00edguez, S. (2013, January 9\u201312). Multi-agent system for controlling a cloud computing environment. Proceedings of the Portuguese Conference on Artificial Intelligence, Azores, Portugal.","DOI":"10.1007\/978-3-642-40669-0_2"},{"key":"ref_14","unstructured":"Ferber, J., and Weiss, G. (1999). Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, Addison-Wesley."},{"key":"ref_15","unstructured":"Nagata, T., Watanabe, H., Ohno, M., and Sasaki, H. (2000, January 4\u20137). A multi-agent approach to power system restoration. Proceedings of the PowerCon 2000. 2000 International Conference on Power System Technology, Perth, WA, Australia."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1109\/LCOMM.2007.070470","article-title":"An improved approximation for the Gaussian Q-function","volume":"11","author":"Karagiannidis","year":"2007","journal-title":"IEEE Commun. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Arulmurugan, R., and Anandakumar, H. (2018). Early Detection of Lung Cancer Using Wavelet Feature Descriptor and Feed Forward Back Propagation Neural Networks Classifier. Computational Vision and Bio Inspired Computing, Springer.","DOI":"10.1007\/978-3-319-71767-8_9"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhang, C., Sun, G., Fang, Z., Zhou, P., Pan, P., and Cong, J. (2018). Towards uniformed representation and acceleration for deep convolutional neural networks. IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.","DOI":"10.1109\/TCAD.2017.2785257"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kumar Roy, S., Mhammedi, Z., and Harandi, M. (2018, January 18\u201322). Geometry aware constrained optimization techniques for deep learning. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA.","DOI":"10.1109\/CVPR.2018.00469"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/5\/1249\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:38:13Z","timestamp":1760186293000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/5\/1249"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,12]]},"references-count":19,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2019,3]]}},"alternative-id":["s19051249"],"URL":"https:\/\/doi.org\/10.3390\/s19051249","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,12]]}}}