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CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments

Fiandrino, Claudio and Capponi, Andrea and Cacciatore, Giuseppe and Kliazovich, Dzmitry and Sorger, Ulrich and Bouvry, Pascal and Kantarci, Burak and Granelli, Fabrizio and Giordano, Stefano (2017) CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments. [Journal Articles]

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Smart cities take advantage of recent ICT developments to provide added value to existing public services and improve quality of life for the citizens. The Internet of Things (IoT) paradigm makes the Internet more pervasive where objects equipped with computing, storage and sensing capabilities are interconnected with communication technologies. Because of the widespread diffusion of IoT devices, applying the IoT paradigm to smart cities is an excellent solution to build sustainable Information and Communication Technology (ICT) platforms. Having citizens involved in the process through mobile crowdsensing (MCS) techniques augments capabilities of these ICT platforms without additional costs. For proper operation, MCS systems require the contribution from a large number of participants. Simulations are therefore a candidate tool to assess the performance of MCS systems. In this paper, we illustrate the design of CrowdSenSim, a simulator for mobile crowdsensing. CrowdSenSim is designed specifically for realistic urban environments and smart cities services. We demonstrate the effectiveness of CrowdSenSim for the most popular MCS sensing paradigms (participatory and opportunistic) and we present its applicability using a smart public street lighting scenario.

Item Type: Journal Articles
Uncontrolled Keywords: Mobile crowdsensing, simulations, smart cities.
Depositing User: Claudio Fiandrino
Date Deposited: 24 Mar 2017 11:32
Last Modified: 11 Dec 2017 11:28

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