Memorias de investigación
Research Publications in journals:
Reducing Communication Overhead for Cooperative Localization Using Nonparametric Belief Propagation
Year:2012
Research Areas
  • Processing and signal analysis
Information
Abstract
A number of methods for cooperative localization has been proposed, but most of them provide only location estimate, without associated uncertainty. On the other hand, nonparametric belief propagation (NBP), which provides approximated posterior distributions of the location estimates, is expensive mostly because of the transmission of the particles. In this paper, we propose a novel approach to reduce communication overhead for cooperative positioning using NBP. It is based on: i) communication of the beliefs (instead of the messages), ii) approximation of the belief with Gaussian mixture of very few components, and iii) censoring. According to our simulations results, these modifications reduce significantly communication overhead while providing the estimates almost as accurate as the transmission of the particles.
International
Si
JCR
No
Title
IEEE WIRELESS COMMUNICATIONS LETTERS
ISBN
2162-2337
Impact factor JCR
Impact info
Volume
Journal number
From page
308
To page
311
Month
SIN MES
Ranking
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones