Utilizing Crowd Sourced Analytics for Building Smarter Mobile Infrastructure and Achieving Better Quality of Experience

dc.contributor.authorYarish, David
dc.contributor.supervisorNeville, Stephen William
dc.contributor.supervisorDarcie, Thomas Edward
dc.date.accessioned2016-01-04T16:33:20Z
dc.date.available2016-01-04T16:33:20Z
dc.date.copyright2015en_US
dc.date.issued2016-01-04
dc.degree.departmentDepartment of Electrical and Computer Engineeringen_US
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractThere is great power in knowledge. Having insight into and predicting network events can be both informative and profitable. This thesis aims to assess how crowd-sourced network data collected on smartphones can be used to improve the quality of experience for users of the network and give network operators insight into how the networks infrastructure can also be improved. Over the course of a year, data has been collected and processed to show where networks have been performing well and where they are under-performing. The results of this collection aim to show that there is value in the collection of this data, and that this data cannot be adequately obtained without a device side presence. The various graphs and histograms demonstrate that the quantities of measurements and speeds recorded vary by both the location and time of day. It is these variations that cannot be determined via traditional network-side measurements. During the course of this experiment, it was observed that certain times of day have much greater numbers of people using the network and it is likely that the quantities of users on the network are correlated with the speeds observed at those times. Places of gathering such as malls and public areas had a higher user density, especially around noon which could is a normal time when people would take a break from the work day. Knowing exactly where and when an Access Point (AP) is utilized is important information when trying to identify how users are utilizing the network.en_US
dc.description.proquestemaildavidyarish@gmail.comen_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/7000
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.5/ca/*
dc.subjectAnalyticsen_US
dc.subjectQuality of Experienceen_US
dc.subjectNetworksen_US
dc.subjectNetwork Infrastructureen_US
dc.subjectCrowd-Sourceen_US
dc.subjectMobileen_US
dc.subjectBig Dataen_US
dc.subjectSmartphoneen_US
dc.subjectData Probeen_US
dc.titleUtilizing Crowd Sourced Analytics for Building Smarter Mobile Infrastructure and Achieving Better Quality of Experienceen_US
dc.typeThesisen_US

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