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dc.contributor.advisor Roy Choudhury, Romit en_US
dc.contributor.author Constandache, Ionut en_US
dc.date.accessioned 2011-05-20T19:35:26Z
dc.date.available 2011-05-20T19:35:26Z
dc.date.issued 2011 en_US
dc.identifier.uri http://hdl.handle.net/10161/3851
dc.description Dissertation en_US
dc.description.abstract <p>Localization is projected to play a critical role in mobile computing applications. Nevertheless, the state of the art is inadequate especially when operating on mobile devices. More specifically, the on-phone GPS sensor has an unacceptable energy consumption and does not operate indoors. Alternate localization techniques, based on WiFi or GSM, alleviate some of the GPS limitations but provide degraded accuracy and assume pre-installed infrastructure. As a result, these solutions need extensive war-driving for collecting location fingerprints and, in many instances, limit services to regions close to drivable paths. Moreover, when infrastructure is scarce or missing, the localization accuracy is poor. Lastly, relying on hardware deployments is costly and raises scalability concerns when targeting wide regions.</p><p>To address the shortcomings of current solutions, we propose four new localization systems: (1) CompAcc enables energy-efficient, war-driving-free localization using the phone inertial sensors and digital maps, (2) Escort provides indoor localization by exploiting the phone inertial sensors and social environments where people are mobile, (3) SurroundSense enables indoor logical localization (e.g., inside Target) by sensing the user ambiance through the phone sensors, and (4) EnLoc proposes energy-efficient localization via personalized mobility profiling and predictions.</p> en_US
dc.subject Computer Science en_US
dc.subject localization en_US
dc.subject mobile phones en_US
dc.subject sensors en_US
dc.title Sensor-Assisted Mobile Phone Localization en_US
dc.type Dissertation en_US
dc.department Computer Science en_US

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