Performance analysis of ZigBee wireless networks for AAL through hybrid ray launching and collaborative filtering
Fecha
2016Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Impacto
|
10.1155/2016/2424101
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 la ...
[++]
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 a drastic 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 withmultiple 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. [--]
Materias
Hybrid ray launching,
Collaborative filtering,
ZigBee wireless networks,
Ambient assisted living
Editor
Hindawi
Publicado en
Journal of Sensors, Volume 2016, Article ID 2424101, 16 pages
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa eta Elektronikoa Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
The authors wish to acknowledge the support provided
under Grant TEC2013-45585-C2-1-R, funded by theMinistry
of Economy and Competitiveness, Spain. URV authors are
partly supported by La Caixa Foundation through Project
SIMPATIC and the Spanish Ministry of Economy and Competitiveness
under Project “Co-Privacy, TIN2011-27076-C03-
01” and by the Government of Catalonia under Grant 2014-
SGR-537.