Article (Scientific journals)
CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
Fiandrino, Claudio; Capponi, Andrea; Cacciatore, Giuseppe et al.
2017In IEEE Access
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Keywords :
Mobile crowdsensing; Simulations; Smart cities
Abstract :
[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.
Disciplines :
Computer science
Author, co-author :
Fiandrino, Claudio ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Capponi, Andrea ;  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
External co-authors :
yes
Language :
English
Title :
CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
Publication date :
February 2017
Journal title :
IEEE Access
ISSN :
2169-3536
Publisher :
Institute of Electrical and Electronics Engineers, United States - New Jersey
Peer reviewed :
Peer Reviewed verified by ORBi
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since 09 March 2017

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