Performance analysis of ZigBee wireless networks for AAL through hybrid ray launching and collaborative filtering
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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. [--]
Journal of Sensors, Volume 2016, Article ID 2424101, 16 pages
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica / Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko eta Elektronikoa Saila / Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. InaMat - Institute for Advanced Materials
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.
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Except where otherwise noted, this item's license is described as © 2016 Peio Lopez-Iturri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.