Memorias de investigación
Communications at congresses:
An energy-efficient strategy for combined RSS-PDR indoor localization
Year:2011
Research Areas
  • Engineering
Information
Abstract
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.
International
Si
Congress
9th IRRR Int. Conf. on Pervasive Computing and Comms (PerCom 2011)
960
Place
Seattle (Washington, USA)
Reviewers
Si
ISBN/ISSN
978-35-4033-578-8
Start Date
21/03/2011
End Date
25/03/2011
From page
619
To page
624
Proceedings of the 9th IRRR Int. Conf. on Pervasive Computing and Comms (PerCom 2011)
Participants
  • 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
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones