TU Darmstadt / ULB / TUbiblio

WBroximity: Mobile Participatory Sensing for WLAN-and Bluetooh-based Positioning

Zaid, Farid ; Costantini, Diego ; Mogre, Parag ; Reinhardt, Andreas ; Schmitt, Johannes ; Steinmetz, Ralf (2010)
WBroximity: Mobile Participatory Sensing for WLAN-and Bluetooh-based Positioning.
35th Conference on Local Computer Networks. Denver, USA (10.10.2010-14.10.2010)
doi: 10.1109/LCN.2010.5735829
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Recently, there has been much interest in positioning based on the widespreading WLAN technology, notably observed in the increasing number of hotspots and mobile devices equipped with WLAN interface. One technique to use WLAN for positioning is location fingerprinting, where WLAN networks in preselected sample locations are collected and used as fingerprints for those locations. However, to collect such fingerprints, existing services typically need to employ many skilled wardrivers who scan networks in the streets. This approach turns out to be very costly, especially when a large scale system coverage with acceptable positioning accuracy is required. Therefore, we propose WBroximity as a novel solution for the aforementioned concerns. With WBroximity, not only WLAN but also Bluetooth fingerprints are collected, therefore benefitting from the short range of Bluetooth to enable more precise positioning. Furthermore, such hybrid fingerprints are collected by using the paradigm of participatory sensing, thus cutting the extra costs needed to employ special personnel for this task, and allowing the system coverage to expand to wherever participants reach. In this paper, we present the technical details of realizing WBroximity as a location provider and its usage for collecting real fingerprint datasets. We evaluate the achieved accuracy in light of combining WLAN and Bluetooth, and the inherent aspects of participatory sensing, like number of participants and quality of participation. We give also an initial design and evaluation of a countermeasure to mitigate the effects of malicious participation.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2010
Autor(en): Zaid, Farid ; Costantini, Diego ; Mogre, Parag ; Reinhardt, Andreas ; Schmitt, Johannes ; Steinmetz, Ralf
Art des Eintrags: Bibliographie
Titel: WBroximity: Mobile Participatory Sensing for WLAN-and Bluetooh-based Positioning
Sprache: Englisch
Publikationsjahr: Oktober 2010
Verlag: IEEE
Veranstaltungstitel: 35th Conference on Local Computer Networks
Veranstaltungsort: Denver, USA
Veranstaltungsdatum: 10.10.2010-14.10.2010
DOI: 10.1109/LCN.2010.5735829
Kurzbeschreibung (Abstract):

Recently, there has been much interest in positioning based on the widespreading WLAN technology, notably observed in the increasing number of hotspots and mobile devices equipped with WLAN interface. One technique to use WLAN for positioning is location fingerprinting, where WLAN networks in preselected sample locations are collected and used as fingerprints for those locations. However, to collect such fingerprints, existing services typically need to employ many skilled wardrivers who scan networks in the streets. This approach turns out to be very costly, especially when a large scale system coverage with acceptable positioning accuracy is required. Therefore, we propose WBroximity as a novel solution for the aforementioned concerns. With WBroximity, not only WLAN but also Bluetooth fingerprints are collected, therefore benefitting from the short range of Bluetooth to enable more precise positioning. Furthermore, such hybrid fingerprints are collected by using the paradigm of participatory sensing, thus cutting the extra costs needed to employ special personnel for this task, and allowing the system coverage to expand to wherever participants reach. In this paper, we present the technical details of realizing WBroximity as a location provider and its usage for collecting real fingerprint datasets. We evaluate the achieved accuracy in light of combining WLAN and Bluetooth, and the inherent aspects of participatory sensing, like number of participants and quality of participation. We give also an initial design and evaluation of a countermeasure to mitigate the effects of malicious participation.

Zusätzliche Informationen:

5th IEEE International Workshop on Practical Issues Building Sensor Network Applications (SenseApp)

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation
Hinterlegungsdatum: 12 Jan 2011 12:38
Letzte Änderung: 22 Mär 2022 10:50
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen