Memorias de investigación
Ponencias en congresos:
An energy-efficient strategy for combined RSS-PDR indoor localization
Año:2011
Áreas de investigación
  • Ingenierías
Datos
Descripción
We propose an optimization-based framework to minimize the energy consumption in a sensor network when using an indoor localization system based on the combination of received signal strength (RSS) and pedestrian dead reckoning (PDR). The objective is to find the RSS localization frequency and the number of RSS measurements used at each localization round that jointly minimize the total consumed energy, while ensuring at the same time a desired accuracy in the localization result. The optimization approach leverages practical models to predict the localization error and the overall energy consumption for combined RSS-PDR localization systems. The performance of the proposed strategy is assessed through simulation, showing energy savings with respect to other approaches while guaranteeing a target accuracy.
Internacional
Si
Nombre congreso
9th IRRR Int. Conf. on Pervasive Computing and Comms (PerCom 2011)
Tipo de participación
960
Lugar del congreso
Seattle (Washington, USA)
Revisores
Si
ISBN o ISSN
978-35-4033-578-8
DOI
Fecha inicio congreso
21/03/2011
Fecha fin congreso
25/03/2011
Desde la página
619
Hasta la página
624
Título de las actas
Proceedings of the 9th IRRR Int. Conf. on Pervasive Computing and Comms (PerCom 2011)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Paula Tarrío Alonso UPM
  • Autor: Matteo Cesana Politecnico di Milano
  • Autor: Marco Tagliasacchi Politecnico di Milano
  • Autor: Alessandro Redondi Politecnico di Milano
  • Autor: Luca Borsani Politecnico di Milano
  • Autor: Jose Ramon Casar Corredera UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones