2010 · 99 citations · 14 references
ComputingComputer SystemsInformation TechnologyMobile ComputingMobile SystemsSensor FusionEnergy-efficient Mobile ComputingIndoor LocalizationMobile SensingMobile Sensor IntegrationSensor Fusion For LocalizationWireless Sensor NetworksAccuracy TradeoffBattery-constrained DesignCompass SensorsEnergy-efficient LocalizationEnergy-efficient Mobile SensingHybrid LocalizationLocation SensingMobile Location-aware Systems
Adding location to the available information enables a new category of applications. With the constrained battery on cell phones, energy-efficient localization becomes an important challenge. In this paper we introduce a low-energy calibration- free localization scheme based on the available internal sensors in many of today's phones. We start by energy profiling the different sensors that can be used for localization. Based on that, we propose GAC: a hybrid GPS/accelerometer/compass scheme that depends mainly on using the low-energy accelerometer and compass sensors and uses the GPS infrequently for synchronization. We implemented our system on Android-enabled cell phones and evaluated it in both highways and intra-city driving environments. Our results show that the proposed hybrid scheme has an exponential saving in energy, with a linear loss in accuracy compared to the GPS accuracy. We also evaluate the effect of the different parameters on the energy-accuracy tradeoff.
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