Andrea Capponi

Orcid: 0000-0001-6945-3196

According to our database¹, Andrea Capponi authored at least 18 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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PhD thesis

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Bibliography

2023

AWS IoT Service Integration for Real Industry 4.0 Deployments.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments.

[BibT_eX]

[DOI]

IEEE Trans. Sustain. Comput., 2022

A mobility-based deployment strategy for edge data centers.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2022

2020

Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator.

[BibT_eX]

[DOI]

Comput. Commun., 2020

The CORONA business in modern cities: poster abstract.

[BibT_eX]

[DOI]

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019

A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities.

[BibT_eX]

[DOI]

IEEE Commun. Surv. Tutorials, 2019

CrowdSenSim 2.0: a Stateful Simulation Platform for Mobile Crowdsensing in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the 22nd International ACM Conference on Modeling, 2019

Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Why energy matters? Profiling energy consumption of mobile crowdsensing data collection frameworks.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2018

Energy-Efficient Data Acquisition in Mobile Crowdsensing Systems.

[BibT_eX]

[DOI]

Andrea Capponi

Proceedings of the 19th IEEE International Symposium on "A World of Wireless, 2018

Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Mobile Cloud Computing, 2018

High-Precision Design of Pedestrian Mobility for Smart City Simulators.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Collaborative Data Delivery for Smart City-Oriented Mobile Crowdsensing Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

2017

A Cost-Effective Distributed Framework for Data Collection in Cloud-Based Mobile Crowd Sensing Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Sustain. Comput., 2017

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

[BibT_eX]

[DOI]

IEEE Access, 2017

Energy efficient data collection in opportunistic mobile crowdsensing architectures for smart cities.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

2016

Assessing Performance of Internet of Things-Based Mobile Crowdsensing Systems for Sensing as a Service Applications in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

Andrea Capponi

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