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


Autoria(s): Tarrío Alonso, Paula; Cesana, Matteo; Tagliasacchi, Marco; Redondi, Alessandro; Borsani, Luca; Casar Corredera, Jose Ramon
Data(s)

2011

Resumo

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.

Formato

application/pdf

Identificador

http://oa.upm.es/11599/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/11599/2/INVE_MEM_2011_102888.pdf

http://www.percom.org/2011/

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Proceedings of The 9th IRRR Int. Conference on Pervasive Computing and Comms, PerCom 2011 | The 9th IRRR Int. Conference on Pervasive Computing and Comms, PerCom 2011 | 21/03/2011 - 25/03/2011 | Seattle, Washington, EEUU

Palavras-Chave #Telecomunicaciones #Electrónica #Informática
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed