Radio propagation modeling and measurements for ZigBee based indoor wireless sensor networks

He, Danping; Mujica Rojas, Gabriel Noe; Liang, Guixuan; Portilla Berrueco, Jorge y Riesgo Alcaide, Teresa (2013). Radio propagation modeling and measurements for ZigBee based indoor wireless sensor networks. En: "IV Jornadas de Computación Empotrada (JCE)", 17/09/2013 - 20/09/2013, Madrid, Spain. pp. 98-103.

Descripción

Título: Radio propagation modeling and measurements for ZigBee based indoor wireless sensor networks
Autor/es:
  • He, Danping
  • Mujica Rojas, Gabriel Noe
  • Liang, Guixuan
  • Portilla Berrueco, Jorge
  • Riesgo Alcaide, Teresa
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: IV Jornadas de Computación Empotrada (JCE)
Fechas del Evento: 17/09/2013 - 20/09/2013
Lugar del Evento: Madrid, Spain
Título del Libro: Actas de las IV Jornadas de Computación Empotrada (JCE)
Fecha: 2013
Materias:
Palabras Clave Informales: ZigBee propagation, 3D ray tracing, environment reconstruction, simulation, measurement
Escuela: Centro de Electrónica Industrial (CEI) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (517kB) | Vista Previa

Resumen

The deployment of nodes in Wireless Sensor Networks (WSNs) arises as one of the biggest challenges of this field, which involves in distributing a large number of embedded systems to fulfill a specific application. The connectivity of WSNs is difficult to estimate due to the irregularity of the physical environment and affects the WSN designers? decision on deploying sensor nodes. Therefore, in this paper, a new method is proposed to enhance the efficiency and accuracy on ZigBee propagation simulation in indoor environments. The method consists of two steps: automatic 3D indoor reconstruction and 3D ray-tracing based radio simulation. The automatic 3D indoor reconstruction employs unattended image classification algorithm and image vectorization algorithm to build the environment database accurately, which also significantly reduces time and efforts spent on non-radio propagation issue. The 3D ray tracing is developed by using kd-tree space division algorithm and a modified polar sweep algorithm, which accelerates the searching of rays over the entire space. Signal propagation model is proposed for the ray tracing engine by considering both the materials of obstacles and the impact of positions along the ray path of radio. Three different WSN deployments are realized in the indoor environment of an office and the results are verified to be accurate. Experimental results also indicate that the proposed method is efficient in pre-simulation strategy and 3D ray searching scheme and is suitable for different indoor environments.

Más información

ID de Registro: 22028
Identificador DC: http://oa.upm.es/22028/
Identificador OAI: oai:oa.upm.es:22028
Depositado por: Memoria Investigacion
Depositado el: 27 Abr 2015 16:47
Ultima Modificación: 06 Jun 2016 16:47
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM