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CAPPONI Andrea

Main Referenced Co-authors
FIANDRINO, Claudio  (14)
BOUVRY, Pascal  (10)
KLIAZOVICH, Dzmitry  (10)
VITELLO, Piergiorgio  (6)
SORGER, Ulrich  (4)
Main Referenced Keywords
Mobile crowdsensing (7); Mobile Crowdsensing (4); Smart Cities (3); Data collection (2); energy efficiency (2);
Main Referenced Disciplines
Computer science (16)
Engineering, computing & technology: Multidisciplinary, general & others (1)

Publications (total 17)

The most downloaded
1533 downloads
Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (April 2019). A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities. IEEE Communications Surveys and Tutorials, 21 (3, thirdquarter 2019), 2419 - 2465. doi:10.1109/COMST.2019.2914030 https://hdl.handle.net/10993/39438

The most cited

360 citations (Scopus®)

Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (April 2019). A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities. IEEE Communications Surveys and Tutorials, 21 (3, thirdquarter 2019), 2419 - 2465. doi:10.1109/COMST.2019.2914030 https://hdl.handle.net/10993/39438

Vitello, P., Capponi, A., Fiandrino, C., Cantelmo, G., & Kliazovich, D. (2021). Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments. IEEE Transactions on Sustainable Computing. doi:10.1109/TSUSC.2021.3056621
Peer reviewed

Vitello, P., Capponi, A., Klopp, P., Connors, R., Viti, F., & Fiandrino, C. (November 2020). The CORONA Business in Modern Cities [Poster presentation]. The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020). doi:10.1145/3384419.3430606

Capponi, A. (2020). Energy-efficient Mobile Crowdsensing Solutions for Smart Cities [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/46378

Vitello, P., Capponi, A., Fiandrino, C., Cantelmo, G., & Kliazovich, D. (2019). The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments. In IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019.
Peer reviewed

Montori, F., Cortesi, E., Bedogni, L., Capponi, A., Fiandrino, C., & Bononi, L. (2019). CrowdSenSim 2.0: a Stateful Simulation Platform for Mobile Crowdsensing in Smart Cities. In MSWIM '19: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Miami Beach, FL, USA, 2019. New York, United States - New York: Association for Computing Machinery. doi:10.1145/3345768.3355929
Peer reviewed

Capponi, A., Vitello, P., Fiandrino, C., Cantelmo, G., Kliazovich, D., Sorger, U., & Bouvry, P. (2019). Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities. In IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, 2019.
Peer reviewed

Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (April 2019). A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities. IEEE Communications Surveys and Tutorials, 21 (3, thirdquarter 2019), 2419 - 2465. doi:10.1109/COMST.2019.2914030
Peer Reviewed verified by ORBi

Vitello, P., Capponi, A., Fiandrino, C., Giaccone, P., Kliazovich, D., Sorger, U., & Bouvry, P. (2018). Collaborative Data Delivery for Smart City-oriented Mobile Crowdsensing Systems. In IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, 2018. doi:10.1109/GLOCOM.2018.8648047
Peer reviewed

Tomasoni, M., Capponi, A., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2018). Why Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks. Pervasive and Mobile Computing. doi:10.1016/j.pmcj.2018.10.002
Peer reviewed

Capponi, A. (2018). Energy-Efficient Data Acquisition in Mobile Crowdsensing Systems. In 19th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Chania, Greece, 2018.
Peer reviewed

Vitello, P., Capponi, A., Fiandrino, C., Giaccone, P., Kliazovich, D., & Bouvry, P. (2018). High-Precision Design of Pedestrian Mobility for Smart City Simulators. In IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 2018.
Peer reviewed

Capponi, A. (April 2018). User Rewarding and Distributed Payment Platforms for Mobile Crowdsensing Systems [Paper presentation]. 12th EuroSys Doctoral Workshop (EuroDW 2018), Porto, Portugal.

Tomasoni, M., Capponi, A., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2018). Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications. In The 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (IEEE Mobile Cloud 2018). doi:10.1109/MobileCloud.2018.00009
Peer reviewed

Capponi, A., Fiandrino, C., Kliazovich, D., & Bouvry, P. (2017). Energy Efficient Data Collection in Opportunistic Mobile Crowdsensing Architectures for Smart Cities. In 3rd IEEE INFOCOM Workshop on Smart Cites and Urban Computing.
Peer reviewed

Capponi, A., Fiandrino, C., Kliazovich, D., Bouvry, P., & Giordano, S. (2017). A Cost-Effective Distributed Framework for Data Collection in Cloud-based Mobile Crowd Sensing Architectures. IEEE Transactions on Sustainable Computing. doi:10.1109/TSUSC.2017.2666043
Peer reviewed

Fiandrino, C., Capponi, A., Cacciatore, G., Kliazovich, D., Sorger, U., Bouvry, P., Kantarci, B., Granelli, F., & Giordano, S. (2017). CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments. IEEE Access. doi:10.1109/ACCESS.2017.2671678
Peer Reviewed verified by ORBi

Capponi, A., Fiandrino, C., Franck, C., Sorger, U., Kliazovich, D., & Bouvry, P. (2016). Assessing Performance of Internet of Things-based Mobile Crowdsensing Systems for Sensing as a Service Applications in Smart Cities. In 8th IEEE International Conference on Cloud Computing Technology and Science (CloudCom).
Peer reviewed

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