dc.contributor.author | Laoudias, Christos | en |
dc.contributor.author | Zeinalipour-Yazdi, Constantinos D. | en |
dc.contributor.author | Panayiotou, Christos G. | en |
dc.creator | Laoudias, Christos | en |
dc.creator | Zeinalipour-Yazdi, Constantinos D. | en |
dc.creator | Panayiotou, Christos G. | en |
dc.date.accessioned | 2019-11-13T10:40:55Z | |
dc.date.available | 2019-11-13T10:40:55Z | |
dc.date.issued | 2013 | |
dc.identifier.isbn | 978-1-4799-4043-1 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54360 | |
dc.description.abstract | Crowdsourcing is an emerging field that allows to tackle difficult problems by soliciting contributions from common people, rather than trained professionals. In the post-pc era, where smartphones dominate the personal computing market offering both constant mobility and large amounts of spatiotemporal sensory data, crowdsourcing is becoming increasingly popular. In this context, crowdsourcing stands as the only viable solution for collecting the large amount of location-related network data required to support location-based services, e.g., the signal strength radiomap of a fingerprinting localization system inside a multi-floor building. However, this benefit does not come for free, because crowdsourcing also poses new challenges in radiomap creation. We focus on the problem of device diversity that occurs frequently as the contributors usually carry heterogeneous mobile devices that report network measurements very differently. We demonstrate with simulations and experimental results that the traditional signal strength values from the surrounding network infrastructure are not suitable for crowdsourcing the radiomap. Moreover, we present an alternative approach, based on signal strength differences, that is far more robust to device variations and maintains the localization accuracy regardless of the number of contributing devices. © 2013 IEEE. | en |
dc.publisher | IEEE Computer Society | en |
dc.source | 2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013 | en |
dc.source | 2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902162696&doi=10.1109%2fIPIN.2013.6817906&partnerID=40&md5=f64026cb97f43a0583c8ccff6bf4f298 | |
dc.subject | Localization accuracy | en |
dc.subject | Mobile devices | en |
dc.subject | crowdsourcing | en |
dc.subject | Location based services | en |
dc.subject | Heterogeneous mobile devices | en |
dc.subject | Indoor localization | en |
dc.subject | localization | en |
dc.subject | Device diversities | en |
dc.subject | device diversity | en |
dc.subject | Network infrastructure | en |
dc.subject | Network measurement | en |
dc.subject | Personal computing | en |
dc.title | Crowdsourced indoor localization for diverse devices through radiomap fusion | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/IPIN.2013.6817906 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: | en |
dc.description.notes | Conference code: 105425 | en |
dc.description.notes | Cited By :30</p> | en |
dc.contributor.orcid | Panayiotou, Christos G. [0000-0002-6476-9025] | |
dc.contributor.orcid | Zeinalipour-Yazdi, Constantinos D. [0000-0002-8388-1549] | |
dc.contributor.orcid | Laoudias, Christos [0000-0002-2907-7488] | |
dc.gnosis.orcid | 0000-0002-6476-9025|0000-0002-8388-1549 | |
dc.gnosis.orcid | 0000-0002-2907-7488 | |