Reference : Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/36943
Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems
English
Vitello, Piergiorgio [Politecnico di Torino > Dip. di Elettronica e Telecomunicazioni]
Capponi, Andrea mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Fiandrino, Claudio [IMDEA Networks Institute]
Giaccone, Paolo [Politecnico di Torino > Dip. di Elettronica e Telecomunicazioni]
Kliazovich, Dzmitry [Examotive]
Sorger, Ulrich [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Dec-2018
IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, 2018
Yes
International
IEEE Global Communications Conference (GLOBECOM)
December 2018
Abu Dhabi
UAE
[en] Mobile crowdsensing ; Smart cities ; Collaborative data delivery
[en] The huge increase of population living in cities calls for a sustainable urban development. Mobile crowdsensing (MCS) leverages participation of active citizens to improve performance of existing sensing infrastructures. In typical MCS systems, sensing tasks are allocated and reported on individual-basis. In this paper, we investigate on collaboration among users for data delivery as it brings a number of benefits for both users and sensing campaign organizers and leads to better coordination and use of resources. By taking advantage from proximity, users can employ device-to-device (D2D) communications like Wi-Fi Direct that are more energy efficient than 3G/4G technology. In such scenario, once a group is set, one of its member is elected to be the owner and perform data forwarding to the collector. The efficiency of forming groups and electing suitable owners defines the efficiency of the whole collaborative-based system. This paper proposes three policies optimized for MCS that are compliant with current Android implementation of Wi-Fi Direct. The evaluation results, obtained using CrowdSenSim simulator, demonstrate that collaborative-based approaches outperform
significantly individual-based approaches.
http://hdl.handle.net/10993/36943

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
collaborative-data-delivery.pdfAuthor preprint754.8 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.