Reference : CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/30036
CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
English
Fiandrino, Claudio mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Capponi, Andrea mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Cacciatore, Giuseppe [University of Trento > Department of information engineering and computer science]
Kliazovich, Dzmitry [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
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) >]
Kantarci, Burak [University of Ottawa > School of Electrical Engineering and Computer Science]
Granelli, Fabrizio [University of Trento > Department of information engineering and computer science]
Giordano, Stefano [University of Pisa > Department of information engineering]
Feb-2017
IEEE Access
Yes
International
2169-3536
[en] Mobile crowdsensing ; Simulations ; Smart cities
[en] 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.
http://hdl.handle.net/10993/30036
10.1109/ACCESS.2017.2671678
http://crowdsensim.gforge.uni.lu/publications.html

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