Sensor-Assisted Mobile Phone Localization

<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. A...

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Main Author: Constandache, Ionut
Other Authors: Roy Choudhury, Romit
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10161/3851
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spelling ndltd-DUKE-oai-dukespace.lib.duke.edu-10161-38512013-01-07T20:07:45ZSensor-Assisted Mobile Phone LocalizationConstandache, IonutComputer Sciencelocalizationmobile phonessensors<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>DissertationRoy Choudhury, Romit2011Dissertationhttp://hdl.handle.net/10161/3851
collection NDLTD
sources NDLTD
topic Computer Science
localization
mobile phones
sensors
spellingShingle Computer Science
localization
mobile phones
sensors
Constandache, Ionut
Sensor-Assisted Mobile Phone Localization
description <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> === Dissertation
author2 Roy Choudhury, Romit
author_facet Roy Choudhury, Romit
Constandache, Ionut
author Constandache, Ionut
author_sort Constandache, Ionut
title Sensor-Assisted Mobile Phone Localization
title_short Sensor-Assisted Mobile Phone Localization
title_full Sensor-Assisted Mobile Phone Localization
title_fullStr Sensor-Assisted Mobile Phone Localization
title_full_unstemmed Sensor-Assisted Mobile Phone Localization
title_sort sensor-assisted mobile phone localization
publishDate 2011
url http://hdl.handle.net/10161/3851
work_keys_str_mv AT constandacheionut sensorassistedmobilephonelocalization
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