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MobiCS: Mobile Platform for Combining Crowdsourcing and Participatory Sensing
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.ORCID iD: 0000-0002-7153-6705
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.ORCID iD: 0000-0002-4722-0823
2015 (English)Conference paper (Refereed)
Abstract [en]

Current participatory sensing approaches usuallydo not consider device carriers as intelligent participants insensing processes. However, modern mobile communicationdevices allow users express their opinions and judgementswhich can complement to captured sensor data. In this paperwe bring together different modes of mobile crowdsourcinginto a general sensing platform which treats device carriersas intelligent problem solvers. We propose a conceptual archi-tecture for versatile context-aware mobile crowdsourcing, andaddress issues related to data representation, quality control,trust and reputation management, and task allocation. Toprove the potential advantages of the proposed conceptualarchitecture we developedMobiCS, a prototype platform whichallows crowdsourcers formulate and distribute both sensingand human intelligence tasks to Android-powered mobilecommunication devices.

Place, publisher, year, edition, pages
IEEE , 2015. Vol. 2, 553-562 p.
Keyword [en]
mobile crowdsourcing, participatory sensing, mobile crowd sensing
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-183157DOI: 10.1109/COMPSAC.2015.26ScopusID: 2-s2.0-84962142430OAI: oai:DiVA.org:kth-183157DiVA: diva2:908396
Conference
Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual
Note

QC 20160415

Available from: 2016-03-02 Created: 2016-03-02 Last updated: 2016-04-15Bibliographically approved

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ReferencesLink to record
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