Edge Selection Strategies for Human-enabled Sensing Architectures

Report on the activities carried out during the PhD

In the following, divided by subject, I report the publications made, the conferences I participated,

the courses and the exams I took, the seminars I attended, the undergraduates I followed, as well

as a brief description of the period passed abroad and my thesis work.

JOURNAL AND MAGAZINE PUBLICATIONS

1. Paolo Bellavista, Dimitri Belli, Stefano Chessa, Luca Foschini, "A Social-driven Edge Computing Architecture for Mobile Crowd Sensing Management", IEEE Communications Magazine, 57(4), pp. 68-73, May 2019, DOI: 10.1109/MCOM.2019.1800637

2. Dimitri Belli, Stefano Chessa, Burak Kantarci, Luca Foschini, “Towards Fog-Based Mobile Crowdsensing Systems: State of the Art and Opportunities”, in press, IEEE Communications Magazine, 57(12), 2019, DOI: 10.1109/MCOM.001.1900003

3. Michele Girolami, Dimitri Belli, Stefano Chessa, “Collaborative Service Discovery in Mobile Social Networks”, Journal of Network and Systems Management, 27(1), pp. 233-268, 2018. DOI: 10.1007/s10922-018-9465-0

4. Dimitri Belli, Stefano Chessa, Luca Foschini, Michele Girolami, “A Probabilistic Model for the Deployment of Human-enabled Edge Computing in Massive Sensing Scenarios”, in IEEE Internet of Things Journal, 2019, DOI: 10.1109/JIOT.2019.2957835

5. Dimitri Belli, Stefano Chessa, Antonio Corradi, Luca Foschini, Michele Girolami, “Optimization Strategies for the Selection of Mobile Edges in Hybrid CrowdSensing Architectures”, in press, Elsevier Computer Communications, ISCC 2019 extension.

6. Dimitri Belli, Stefano Chessa, Luca Foschini, Michele Girolami, “The Rhythm of the Crowd: Properties of Evolutionary Community Detection Algorithms for Mobile Edge Selection”, under review, Elsevier Pervasive and Mobile Computing 2020.

CONFERENCE PUBLICATIONS

1. Dimitri Belli, Stefano Chessa, Antonio Corradi, Giampiero Di Paolo, Luca Foschini, Michele Girolami, “Selection of Mobile Edges for a Hybrid CrowdSensing Architecture”, 2019 IEEE Symposium on

Computers and Communications (ISCC), Barcelona, Spain, DOI: 10.1109/ISCC47284.2019.8969597

2. Dimitri Belli, Stefano Chessa, Burak Kantarci, Luca Foschini, “A Capacity-Aware User Recruitment Framework for Fog-Based Mobile Crowd-Sensing Platforms”, 2019 IEEE Symposium on Computers and

Communications (ISCC), Barcelona, Spain, DOI: 10.1109/ISCC47284.2019.8969754

3. Dimitri Belli, Stefano Chessa, Luca Foschini and Michele Girolami, “A Social-Based Approach to Mobile Edge Computing”, 2018 IEEE International Symposium on Computers and Communications (ISCC), 2018, pp. 292-297, DOI: 10.1109/ISCC.2018.8538763

4. Dimitri Belli, Stefano Chessa, Luca Foschini, Michele Girolami, “Enhancing Mobile Edge Computing Architecture with Human-driven Edge Computing Model”, 14th International Conference on Intelligent

Environments (IE'18), 2018, pp. 95-98, DOI: 10.1109/IE.2018.00023

5. Paolo Barsocchi, Dimitri Belli, Stefano Chessa, Luca Foschini, Michele Girolami, “Impact of Evolutionary Community Detection Algorithms for Edge Selection Strategies”, under review, IEEE International

Conference on Smart Computing SMARTCOMP 2020.

CONFERENCE PARTICIPATION

• IE 2018: The 14th _{international Conference on Intelligent Environments, Rome (Italy), Jun 25 – Jun 28,} presentation of a short paper.

• ISCC 2019: IEEE Symposium on Computers and Communications 2019, Barcelona (Spain), Jun 30- Jul 03, presentation of two papers.

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PHD EXAMS, RECOVERY EXAMS AND SEMINARS

PhD exams

• Distributed Computing and Large Graph Mining (prof. P. Crescenzi, prof. P. Fraigniaud) - vote: 18/20 • The Internet of Everything, Everywhere: Methods and Technologies for Internetworking Land, Air and

Sea (prof. S. Basagni) - vote: 20/20

• An Introduction to Deep Learning (prof. A. Gullì) - vote: 20/20

• Shape Analysis and Geometry Processing (prof. P. Cignoni, dott.ssa D. Giorgi, dott.ssa M. A. Pascali, dott. F. Ganovelli) – 32-hour course at the dept. of Mathematics (valid for 2 exams) - vote: 20/20

• Natural Language Processing (prof. G. Attardi), course of the laurea magistrale applicable to the PhD – vote 30/30

• Period abroad at the School of Electrical Engineering and Computer Science of Ottawa (six months)

Recovery exams

• Elementi di Calcolabilità e Complessità • Algoritmica

• Architetture degli elaboratori • Reti di calcolatori

Seminars

• PhD+ 2017

• Research, Innovation, and Future of ICT edition 2017 • Weekly Seminar Series NEXTCON (Ottawa, Canada)

THESIS SUPERVISED

I co-supervised the following students in the writing process of their thesis:

• Giampiero Di Paolo, Definizione e valutazione di un algoritmo di selezione di edge mobili in supporto ad

applicazioni di Mobile Crowdsensing per ottimizzare la raccolta e la condivisione dei dati in relazione alla mobilità e alla socialità degli utenti, 2018

• Lorenzo Chiarini, Clustering di dati di Crowdsensing nel progetto ParticipAct Brasil, 2019

PERIOD ABROAD

• I passed a period abroad at the School of Electrical Engineering and Computer Science of Ottawa, six months in total, from 2018/09/15 to 2019/03/15

MY THESIS

My PhD thesis is titled “Edge Selection Strategies for Human-enabled Sensing Architectures” and includes the development of a heuristic and an algorithm for the selection of mobile devices in a Mobile Crowdsensing

(MCS) campaign within an Multi-Access Edge Computing architecture. In addition, the work includes the development of a probabilistic model for the estimation of the exact number of mobile devices to be selected. MCS devices are used in this context to replace MEC proxies and support other devices in processing, storing, and real-time analytics operations over sensing data.