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Memorias de investigación
Ponencias en congresos:
Pseudo-junction tree method for cooperative localization in wireless sensor networks
Año:2010
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
Nonparametric belief propagation (NBP) is well-known probabilistic method for cooperative localization in sensor networks. However, due to the double counting problem, NBP convergence is not guaranteed in the networks with loops or even if NBP converges, it could provide us less accurate estimates. The well-known solution for this problem is nonparametric generalized belief propagation based on junction tree (NGBP-JT). However, there are two problems: how to efficiently form the junction tree in an arbitrary network, and how to decrease the number of particles while keeping the good performance. Therefore, in this paper, we propose the formation of pseudo-junction tree (PJT), which represents the approximated junction tree based on thin graph. In addition, in order to decrease the number of particles, we use a set of very strong constraints. The resulting localization method, NGBP based on PJT (NGBP-PJT), overperforms NBP in terms of accuracy and communication cost in any arbitrary network.
Internacional
Si
Nombre congreso
13th Conference on Information Fusion (FUSION), 2010
Tipo de participación
960
Lugar del congreso
Edinburgh
Revisores
Si
ISBN o ISSN
978-0-9824438-1-1
DOI
Fecha inicio congreso
26/07/2010
Fecha fin congreso
29/07/2010
Desde la página
1
Hasta la página
8
Título de las actas
Proceedings of 13th Conference on Information Fusion (FUSION), 2010
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Vladimir Savic . (UPM)
  • Autor: Santiago Zazo Bello (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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