A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities

A Capponi, C Fiandrino, B Kantarci… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Smart city reporting: A bibliometric and structured literature review analysis to identify technological opportunities and challenges for sustainable development

S Secinaro, V Brescia, F Lanzalonga… - Journal of Business …, 2022 - Elsevier
While policies and academic interest in smart cities gain momentum, there remain significant
gaps in practice and academic conceptualisations explaining it as a new source of …

Linee guida per la realizzazione del Bilancio POP o Integrated Popular Financial Reporting

P Biancone, S Secinaro, V Brescia… - European journal of …, 2023 - iris.unito.it
Il Popular Financial Reporting, noto anche come Bilancio POP, rappresenta una forma
trasparente e semplificata di rendicontazione sociale progettata per facilitare la …

[HTML][HTML] The nexus between ICT, top-down and bottom-up approaches for sustainability activities: A systematic map** study

MO Adisa, S Oyedeji, J Porras - Journal of Cleaner Production, 2024 - Elsevier
The role of ICT solutions in protecting the environment, strengthening global efforts to
combat climate change, and promoting sustainability has received significant global …

Cost-efficient vehicular crowdsensing based on implicit relation aware graph attention networks

J Huo, L Wang, X Wen, D Gesbert… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The development of vehicular intelligence and networking has led to the emergence of
vehicular crowdsensing as a new perception paradigm. By integrating edge computing …

A meritocratic trust-based group formation in an IoT environment for smart cities

G Fortino, L Fotia, F Messina, D Rosaci… - Future Generation …, 2020 - Elsevier
Smart cities are built on top of heterogeneous IoT infrastructures, that can be viewed as
communities of software agents (the intelligent objects) that interact with each other to …

Efficient group collaboration for sensing time redundancy optimization in mobile crowd sensing

G Yang, J Sang, H Li, X He, F Sun… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In mobile crowdsensing (MCS), complex tasks often require collaboration among multiple
workers with diverse expertise and sensors. However, few studies consider the sensing time …

Freshness aware vehicular crowdsensing with multi-agent reinforcement learning

J Ma, Y Yu, G Liu, T Huang - Computer Networks, 2025 - Elsevier
Vehicular crowdsensing leverages the mobility and sensing capabilities of vehicles to
provide efficient data collection and monitoring services for urban areas. However …

Vehicular Crowdsensing Inference and Prediction With Multi Training Graph Transformer Networks

J Huo, L Wang, Z Lu, X Wen - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Vehicular crowdsensing has emerged as a prominent sensing paradigm in the Internet of
Things (IoT), and its powerful sensing and computing capabilities can provide sufficient data …

Fuzzy Q-learning-based opportunistic communication for MEC-enhanced vehicular crowdsensing

TT Nguyen, TT Nguyen, TH Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This study focuses on MEC-enhanced, vehicle-based crowdsensing systems that rely on
devices installed on automobiles. We investigate an opportunistic communication paradigm …