An energy-efficient strategy for combined RSS-PDR indoor localization

Tarrío Alonso, Paula, Cesana, Matteo, Tagliasacchi, Marco, Redondi, Alessandro, Borsani, Luca and Casar Corredera, José Ramón ORCID: https://orcid.org/0000-0003-3851-9038 (2011). An energy-efficient strategy for combined RSS-PDR indoor localization. En: "The 9th IRRR Int. Conference on Pervasive Computing and Comms, PerCom 2011", 21/03/2011 - 25/03/2011, Seattle, Washington, EEUU. ISBN 978-1-612-84938-6. pp. 619-624.

Descripción

Título: An energy-efficient strategy for combined RSS-PDR indoor localization
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: The 9th IRRR Int. Conference on Pervasive Computing and Comms, PerCom 2011
Fechas del Evento: 21/03/2011 - 25/03/2011
Lugar del Evento: Seattle, Washington, EEUU
Título del Libro: Proceedings of The 9th IRRR Int. Conference on Pervasive Computing and Comms, PerCom 2011
Fecha: 2011
ISBN: 978-1-612-84938-6
Materias:
ODS:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 11599
Identificador DC: https://oa.upm.es/11599/
Identificador OAI: oai:oa.upm.es:11599
URL Oficial: http://www.percom.org/2011/
Depositado por: Memoria Investigacion
Depositado el: 13 Jul 2012 09:23
Ultima Modificación: 21 Mar 2023 17:17