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dc.creatorBaloch, Shahbaz Hussain
dc.date.accessioned2014-12-01T07:30:02Z
dc.date.available2014-12-01T07:30:02Z
dc.identifier.urihttp://dspace.cc.tut.fi/dpub/handle/123456789/22607
dc.description.abstractThe main objectives of the presented work are to study the various existing human mobility models based on literature reviews and to select an appropriate and simplified mobility model fit to the available measurement data. This thesis work is mainly processing a part of “Big Data” that was collected from large number of people, known as Mobile Data Challenge (MDC). MDC is large scale data collection from Smartphone based research. The thesis also addressed the fact that appropriate mobility models could be utilized in many important practical applications, such as in public health care units, for elderly care and monitoring, to improve the localization algorithms, in cellular communications networks to avoid traffic congestion, for designing of such systems that can predict prior users location, in economic forecasting, for public transportation systems and for developing social mobile applications. Basically, mobility models indicate the movement patterns of users and how their position, velocity and acceleration vary with respect to time. Such models can be widely used in the investigation of advanced communication and navigation techniques. These human mobility models are normally classified into two main models, namely; entity mobility models and group mobility models. The presented work focuses on the entity mobility models. The analysis was done in Matlab, based on the measurement data available in MDC database, the several parameters of Global Positioning System (GPS) data were extracted, such as time, latitude, longitude, altitude, speed, horizontal accuracy, horizontal Dilution of Precision (DOP), vertical accuracy, vertical DOP, speed accuracy etc. Parts of these parameters, namely the time, latitude, longitude, altitude and speed were further investigated in the context of basic random walk mobility model. The data extracted from the measurements was compared with the 2-D random walk mobility model. The main findings of the thesis are that the random walk model is not a perfect fit for the available user measurement data, but can be used as a starting point in analyzing the user mobility models.en
dc.format.extentviii, 54
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.titleAnalysis of User Mobility Models Based on Outdoor Measurement Data and Literature Surveysen
dc.identifier.urnURN:NBN:fi:tty-201412011558
dc.contributor.laitosElektroniikan ja tietoliikennetekniikan laitos – Department of Electronics and Communications Engineeringen
dc.contributor.laitosSysteemitekniikan laitos – Department of Automation Science and Engineeringen
dc.contributor.tiedekuntaTieto- ja sähkötekniikan tiedekunta – Faculty of Computing and Electrical Engineeringen
dc.contributor.tiedekuntaTeknisten tieteiden tiedekunta – Faculty of Engineering Sciences
dc.contributor.yliopistoTampereen teknillinen yliopisto - Tampere University of Technologyfi
dc.programmeMaster's Degree Programme in Information Technologyen
dc.date.published2014-12-03
dc.contributor.laitoskoodielt
dc.contributor.degreesupervisorPiche, Robert
dc.contributor.degreesupervisorLohan, Elena Simona
dc.type.ontasotDiplomityö - Master's thesis


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