Multi-agent platform for the management, storage and computing of information in smart-homes with different computing techniques
- Autores: Diego M. Jiménez Bravo
- Directores de la Tesis: Juan Francisco de Paz Santana (dir. tes.)
, Gabriel Villarrubia González (codir. tes.) - Lectura: En la Universidad de Salamanca ( España ) en 2020
- Idioma: español
- Tribunal Calificador de la Tesis: Vivian Félix López Batista (presid.) , Ekaitz Jauregi (secret.) , Valderi Reis Quietinho Leithardt (voc.)
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- Resumen
The increase of big and medium cities along with the irruption of the Internet of Things has supposed a new challenge for governments and city councils. It seems that they have wagered for the transformation of cities to a more smart environment. This transformation does not only mean the transformation of the city itself but also the transformation of buildings, homes, and the implementation of new and useful services for the citizens. The Internet of Things technology and artificial intelligence are the main responsible for this transformation. These technologies can completely transform these environments and increase the benefits for citizens. However, it is also important to use these technologies not only to improve users’ benefits but also to improve the quality of life in our neighborhood or city. Right now, one of the mains social problems is climate change. Therefore, it is important to use these technologies to fight and reduce the effect that climate change is provoking in the world. This Ph.D. thesis aims to research on a multi-agent architecture for smart-homes that tries to reduce the effect that non-renewable energies have in the environment. The thesis addresses the characteristic of an IoT system and the most important protocols and/or technologies used for communication in these systems; it also describes some of the most important algorithms in the artificial intelligence field of study; finally, it describes the characteristics of a multi-agent system. The case studies designed along with the architecture designed have demonstrated to work perfectly and with good results as it is showed in this work. Hence the main contributions of this works are: (I) a review of the state of the art in the fields related with the Ph.D. topic; (II) a multi-agent agent architecture for IoT environments, especially smarthomes; and (III) different case studies to reduce the consumption of non-renewable energies in homes.
