Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Performance Analysis of ZigBee Wireless Networks for AAL through Hybrid Ray Launching and Collaborative Filtering

  • Datos identificativos

    Identificador: PC:1442
    Autores:
    Agusti SolanasPeio Lopez-IturriFran CansinoErik AguirreLeyre AzpilicuetaFrancisco Falcone
    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.
  • Otros:

    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
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2016
    Tipo de publicación: Article Artículo Article
  • Palabras clave:

    Complex networks
    WLAN (Xarxes d'ordinadors)
    Xarxes locals sense fil Wi-Fi
    Wireless networks
    Enginyeria informàtica
    Ingeniería informática
    Computer engineering
    1687-725X
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