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Memorias de investigación
Communications at congresses:
Radio Propagation Modeling and Measurements for ZigBee Based Indoor Wireless Sensor Networks
Year:2013
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
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.
International
Si
Congress
las IV Jornadas de Computación Empotrada (JCE)
960
Place
Madrid (Spain)
Reviewers
Si
ISBN/ISSN
978-84-695-8317-3
Start Date
17/09/2013
End Date
20/09/2013
From page
98
To page
103
in Proceedings of the Jornadas de Computación empotrada
Participants
  • Autor: Danping He (UPM)
  • Autor: Gabriel Noe Mujica Rojas (UPM)
  • Autor: Guixuan Liang . (UPM)
  • Autor: Jorge Portilla Berrueco (UPM)
  • Autor: Teresa Riesgo Alcaide (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Automática, Ingeniería Electrónica e Informática Industrial
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