Autor segons l'article: Agusti Solanas; Peio Lopez-Iturri; Fran Cansino; Erik Aguirre; Leyre Azpilicueta; Francisco Falcone
Departament: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/s de la URV: SOLANAS GÓMEZ, AGUSTÍN; Peio Lopez-Iturri; Fran Cansino; Erik Aguirre; Leyre Azpilicueta; Francisco Falcone
Paraules clau: Wireless networks
Resum: This paper presents a novel hybrid simulation method based on the combination of an in-house developed 3D ray launching algorithm and a collaborative filtering (CF) technique, which will be used to analyze the performance of ZigBee-based wireless sensor networks (WSNs) to enable ambient assisted living (AAL). The combination of Low Definition results obtained by means of a deterministic ray launching method and the application of a CF technique leads to adrastic reduction of the time and computational cost required to obtain accurate simulation results. The paper also reports that this kind of AAL indoor complex scenario with multiple wireless devices needs a thorough and personalized radioplanning analysis as radiopropagation has a strong dependence on the network topology and the specific morphology of the scenario. The wireless channel analysis performed by our hybrid method provides valuable insight into network design phases of complex wireless systems, typical in AAL-oriented environments. Thus, it results in optimizing network deployment, reducing overall interference levels, and increasing the overall system performance in terms of cost reduction, transmission rates, and energy efficiency.
Grup de recerca: Grup de Recerca en Smart Health
Àrees temàtiques: Enginyeria informàtica Ingeniería informática Computer engineering
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1687-725X
Identificador de l'autor: 0000-0002-4881-6215; 0000-0001-8411-1928; n/a; 0000-0002-7882-1453; 0000-0002-3821-0105; 0000-0002-4911-9753
Data d'alta del registre: 2016-04-18
Volum de revista: 2016
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.hindawi.com/journals/js/2016/2424101/
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1155/2016/2424101
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Tipus de publicació: Article Artículo Article