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.

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

CESANA, MATTEO;TAGLIASACCHI, MARCO;REDONDI, ALESSANDRO ENRICO CESARE;BORSANI, LUCA PIETRO;
2011

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.
2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops),
9781612849362
9781612849386
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/634048
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