Autor según el artículo: Agusti Solanas; Peio Lopez-Iturri; Fran Cansino; Erik Aguirre; Leyre Azpilicueta; Francisco Falcone

Departamento: Enginyeria Electrònica, Elèctrica i Automàtica

Autor/es de la URV: SOLANAS GÓMEZ, AGUSTÍN; Peio Lopez-Iturri; Fran Cansino; Erik Aguirre; Leyre Azpilicueta; Francisco Falcone

Palabras clave: Wireless networks

Resumen: 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.

Grupo de investigación: Grup de Recerca en Smart Health

Áreas temáticas: Enginyeria informàtica Ingeniería informática Computer engineering

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 1687-725X

Identificador del autor: 0000-0002-4881-6215; 0000-0001-8411-1928; n/a; 0000-0002-7882-1453; 0000-0002-3821-0105; 0000-0002-4911-9753

Fecha de alta del registro: 2016-04-18

Volumen de revista: 2016

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://www.hindawi.com/journals/js/2016/2424101/

DOI del artículo: 10.1155/2016/2424101

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2016

Tipo de publicación: Article Artículo Article