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How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing

The possibility of understanding the dynamics of human mobility and sociality creates the opportunity to re-design the way data are collected by exploiting the crowd. We survey the last decade of experimentation and research in the field of mobile CrowdSensing, a paradigm centred on users’ devices a...

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Detalles Bibliográficos
Autores principales: Girolami, Michele, Belli, Dimitri, Chessa, Stefano, Foschini, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512557/
https://www.ncbi.nlm.nih.gov/pubmed/34640717
http://dx.doi.org/10.3390/s21196397
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author Girolami, Michele
Belli, Dimitri
Chessa, Stefano
Foschini, Luca
author_facet Girolami, Michele
Belli, Dimitri
Chessa, Stefano
Foschini, Luca
author_sort Girolami, Michele
collection PubMed
description The possibility of understanding the dynamics of human mobility and sociality creates the opportunity to re-design the way data are collected by exploiting the crowd. We survey the last decade of experimentation and research in the field of mobile CrowdSensing, a paradigm centred on users’ devices as the primary source for collecting data from urban areas. To this purpose, we report the methodologies aimed at building information about users’ mobility and sociality in the form of ties among users and communities of users. We present two methodologies to identify communities: spatial and co-location-based. We also discuss some perspectives about the future of mobile CrowdSensing and its impact on four investigation areas: contact tracing, edge-based MCS architectures, digitalization in Industry 5.0 and community detection algorithms.
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spelling pubmed-85125572021-10-14 How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing Girolami, Michele Belli, Dimitri Chessa, Stefano Foschini, Luca Sensors (Basel) Article The possibility of understanding the dynamics of human mobility and sociality creates the opportunity to re-design the way data are collected by exploiting the crowd. We survey the last decade of experimentation and research in the field of mobile CrowdSensing, a paradigm centred on users’ devices as the primary source for collecting data from urban areas. To this purpose, we report the methodologies aimed at building information about users’ mobility and sociality in the form of ties among users and communities of users. We present two methodologies to identify communities: spatial and co-location-based. We also discuss some perspectives about the future of mobile CrowdSensing and its impact on four investigation areas: contact tracing, edge-based MCS architectures, digitalization in Industry 5.0 and community detection algorithms. MDPI 2021-09-25 /pmc/articles/PMC8512557/ /pubmed/34640717 http://dx.doi.org/10.3390/s21196397 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Girolami, Michele
Belli, Dimitri
Chessa, Stefano
Foschini, Luca
How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing
title How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing
title_full How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing
title_fullStr How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing
title_full_unstemmed How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing
title_short How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing
title_sort how mobility and sociality reshape the context: a decade of experience in mobile crowdsensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512557/
https://www.ncbi.nlm.nih.gov/pubmed/34640717
http://dx.doi.org/10.3390/s21196397
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