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Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems
Vitello, Piergiorgio; Capponi, Andrea; Fiandrino, Claudio et al.
2018In IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, 2018
Peer reviewed
 

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Keywords :
Mobile crowdsensing; Smart cities; Collaborative data delivery
Abstract :
[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.
Disciplines :
Computer science
Author, co-author :
Vitello, Piergiorgio ;  Politecnico di Torino > Dip. di Elettronica e Telecomunicazioni
Capponi, Andrea ;  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)
External co-authors :
yes
Language :
English
Title :
Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems
Publication date :
December 2018
Event name :
IEEE Global Communications Conference (GLOBECOM)
Event place :
Abu Dhabi, United Arab Emirates
Event date :
December 2018
Audience :
International
Main work title :
IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, 2018
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 12 October 2018

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