Crowdsourcing based terminal positioning using multidimensional data clustering and interpolation

Noureddine Boujnah, Piotr Korbel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recent years can be characterized by the rapid increase of mobile device usage in people's lives. Contemporary mobile devices are equipped with many sensors and have high computational and processing capabilities. In a crowdsourcing systems, mobile users participate constructively in specific information handling. Data collected by crowd of mobile devices and stored in a database may help offering new services such as operator's radio quality evaluation and tracking of users. In this paper, we focus on mobile positioning by clustering and interpolating data to match fingerprints to positions. Our method is trained during the offline phase and parameters are periodically updated to track possible changes in propagation environment.

Original languageEnglish
Title of host publicationProceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016
EditorsMaria Ganzha, Marcin Paprzycki, Leszek Maciaszek
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages961-967
Number of pages7
ISBN (Electronic)9788360810903
DOIs
Publication statusPublished - 03 Nov 2016
Externally publishedYes
Event2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016 - Gdansk, Poland
Duration: 11 Sep 201614 Sep 2016

Publication series

NameProceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016

Conference

Conference2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016
Country/TerritoryPoland
CityGdansk
Period11/09/201614/09/2016

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