MobiCS: Mobile Platform for Combining Crowdsourcing and Participatory Sensing
2015 (English)Conference paper (Refereed)
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.
mobile crowdsourcing, participatory sensing, mobile crowd sensing
Research subject Information and Communication Technology
IdentifiersURN: urn:nbn:se:kth:diva-183157DOI: 10.1109/COMPSAC.2015.26ScopusID: 2-s2.0-84962142430OAI: oai:DiVA.org:kth-183157DiVA: diva2:908396
Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual
QC 201604152016-03-022016-03-022016-04-15Bibliographically approved