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Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems

Vitello, Piergiorgio and Capponi, Andrea and Fiandrino, Claudio and Giaccone, Paolo and Kliazovich, Dzmitry and Bouvry, Pascal and Sorger, Ulrich (2018) Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems. In: IEEE Global Communications Conference (Globecom 2018), 9-13 December 2018, Abu Dhabi, United Arab Emirates.

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Abstract

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 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.

Item Type: Conference or Workshop Papers (Paper)
Uncontrolled Keywords: Mobile Crowdsensing; Collaborative sensing; Energy efficiency; Smart cities.
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Claudio Fiandrino
Date Deposited: 14 Oct 2018 14:25
Last Modified: 07 Dec 2018 19:08
URI: http://eprints.networks.imdea.org/id/eprint/1883

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