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A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
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 …
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
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 …
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
Il Popular Financial Reporting, noto anche come Bilancio POP, rappresenta una forma
trasparente e semplificata di rendicontazione sociale progettata per facilitare la …
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
The role of ICT solutions in protecting the environment, strengthening global efforts to
combat climate change, and promoting sustainability has received significant global …
combat climate change, and promoting sustainability has received significant global …
Cost-efficient vehicular crowdsensing based on implicit relation aware graph attention networks
The development of vehicular intelligence and networking has led to the emergence of
vehicular crowdsensing as a new perception paradigm. By integrating edge computing …
vehicular crowdsensing as a new perception paradigm. By integrating edge computing …
A meritocratic trust-based group formation in an IoT environment for smart cities
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 …
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 …
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 …
provide efficient data collection and monitoring services for urban areas. However …
Vehicular Crowdsensing Inference and Prediction With Multi Training Graph Transformer Networks
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 …
Things (IoT), and its powerful sensing and computing capabilities can provide sufficient data …
Fuzzy Q-learning-based opportunistic communication for MEC-enhanced vehicular crowdsensing
This study focuses on MEC-enhanced, vehicle-based crowdsensing systems that rely on
devices installed on automobiles. We investigate an opportunistic communication paradigm …
devices installed on automobiles. We investigate an opportunistic communication paradigm …