Article (Scientific journals)
Why Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks
Tomasoni, Mattia; Capponi, Andrea; Fiandrino, Claudio et al.
2018In Pervasive and Mobile Computing
Peer reviewed
 

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Keywords :
Mobile crowdsensing; Energy consumption; Data collection
Abstract :
[en] Mobile Crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. The citizens actively participate in the sensing process by contributing data with their mobile devices. To produce data, citizens sustain costs, i.e., the energy consumed for sensing and reporting operations. Hence, devising energy efficient data collection frameworks (DCF) is essential to foster participation. In this work, we investigate from an energy-perspective the performance of different DCFs. Our methodology is as follows: (i) we developed an Android application that implements the DCFs, (ii) we profiled the energy and network performance with a power monitor and Wireshark, (iii) we included the obtained traces into CrowdSenSim simulator for large-scale evaluations in city-wide scenarios such as Luxembourg, Turin and Washington DC. The amount of collected data, energy consumption and fairness are the performance indexes evaluated. The results unveil that DCFs with continuous data reporting are more energy-efficient and fair than DCFs with probabilistic reporting. The latter exhibit high variability of energy consumption, i.e., to produce the same amount of data, the associated energy cost of different users can vary significantly.
Disciplines :
Computer science
Author, co-author :
Tomasoni, Mattia;  University of Trento > Dipartimento di Ingegneria e Scienza dell’Informazione
Capponi, Andrea ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Fiandrino, Claudio ;  IMDEA Networks Institute
Kliazovich, Dzmitry;  ExaMotive
Granelli, Fabrizio;  University of Trento > Dipartimento di Ingegneria e Scienza dell’Informazione
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Why Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks
Publication date :
October 2018
Journal title :
Pervasive and Mobile Computing
ISSN :
1574-1192
Publisher :
Elsevier
Special issue title :
Crowd-sensed Big Data for Internet of Things Services
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 12 October 2018

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