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Energy Efficient Data Collection in Opportunistic Mobile Crowdsensing Architectures for Smart Cities

Capponi, Andrea and Fiandrino, Claudio and Kliazovich, Dzmitry and Bouvry, Pascal and Giordano, Stefano (2017) Energy Efficient Data Collection in Opportunistic Mobile Crowdsensing Architectures for Smart Cities. In: The 3rd IEEE INFOCOM Workshop on Smart Cities and Urban Computing, in conjunction with the 36th IEEE International Conference on Computer Communications (IEEE INFOCOM 2017), 1 May 2017, Atlanta, GA, USA.

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Abstract

Smart cities employ latest information and communication technologies to enhance services for citizens. Sensing is essential to monitor current status of infrastructures and the environment. In Mobile Crowdsensing (MCS), citizens participate in the sensing process contributing data with their mobile devices such as smartphones, tablets and wearables. To be effective, MCS systems require a large number of users to contribute data. While several studies focus on developing efficient incentive mechanisms to foster user participation, data collection policies still require investigation. In this paper, we propose a novel distributed and energy-efficient framework for data collection in opportunistic MCS architectures. Opportunistic sensing systems require minimal intervention from the user side as sensing decisions are application- or device-driven. The proposed framework minimizes the cost of both sensing and reporting, while maximizing the utility of data collection and, as a result, the quality of contributed information. We evaluate performance of the framework with simulations, performed in a real urban environment and with a large number of participants. The simulation results verify cost-effectiveness of the framework and assess efficiency of the data generation process.

Item Type: Conference or Workshop Papers (Paper)
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Carlos Contreras
Date Deposited: 17 Jul 2017 11:25
Last Modified: 17 Jul 2017 11:25
URI: http://eprints.networks.imdea.org/id/eprint/1647

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