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When crowdsensing meets smart cities: A comprehensive survey and new perspectives
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
AoI-guaranteed incentive mechanism for mobile crowdsensing with freshness concerns
With the explosive spread of smart mobile devices, Mobile CrowdSensing (MCS) has been
becoming a promising paradigm, by which a platform can coordinate a group of workers to …
becoming a promising paradigm, by which a platform can coordinate a group of workers to …
Aoi-aware incentive mechanism for mobile crowdsensing using stackelberg game
Mobile CrowdSensing (MCS) is a mobile computing paradigm, through which a platform can
coordinate a crowd of workers to accomplish large-scale data collection tasks using their …
coordinate a crowd of workers to accomplish large-scale data collection tasks using their …
Blocksc: A blockchain empowered spatial crowdsourcing service in metaverse while preserving user location privacy
Spatial crowdsourcing (SC) has become a fundamental and emerging technology in
Metaverse, facilitating the creation of immersive experiences through location-based …
Metaverse, facilitating the creation of immersive experiences through location-based …
A trust and privacy-preserving intelligent big data collection scheme in mobile edge-cloud crowdsourcing
As one of important Edge-Cloud solutions, mobile crowd sensing (MCS) platform resides in
the cloud, and recruits massive workers in the edge network to sense data, so big data can …
the cloud, and recruits massive workers in the edge network to sense data, so big data can …
A personalized privacy preserving mechanism for crowdsourced federated learning
In this paper, we focus on the privacy preserving mechanism design for crowdsourced
Federated Learning (FL), where a requester can outsource its model training task to some …
Federated Learning (FL), where a requester can outsource its model training task to some …
Truth based three-tier combinatorial multi-armed bandit ecosystems for mobile crowdsensing
Abstract Many Multi-Armed Bandit (MAB) based workers selection schemes have been
proposed to select high-quality workers to enhance the quality of tasks. However, in Mobile …
proposed to select high-quality workers to enhance the quality of tasks. However, in Mobile …
SQCS: A sustainable quality control system for spatial crowdsourcing via three-party evolutionary game: Theory and practice
Quality control of sensing data poses a fundamental challenge in Spatial Crowdsourcing
(SC) applications, and various incentive mechanisms have been proposed to effectively …
(SC) applications, and various incentive mechanisms have been proposed to effectively …
Satisfaction-aware task assignment in spatial crowdsourcing
With the ubiquitous of GPS-equipped devices, spatial crowdsourcing (SC) technology has
been widely utilized in our daily life. As a novel computing paradigm, it hires mobile users as …
been widely utilized in our daily life. As a novel computing paradigm, it hires mobile users as …
Privacy-preserving stable crowdsensing data trading for unknown market
As a new paradigm of data trading, Crowdsensing Data Trading (CDT) has attracted
widespread attention in recent years, where data collection tasks of buyers are …
widespread attention in recent years, where data collection tasks of buyers are …