A UAV-assisted multi-task allocation method for mobile crowd sensing
Mobile crowd sensing (MCS) with human participants has been proposed as an efficient
way of collecting data for smart cities applications. However, there often exist situations …
way of collecting data for smart cities applications. However, there often exist situations …
Reusing delivery drones for urban crowdsensing
Thanks to the increasing number and massive coverage, delivery drones, equipped with
various sensors, have demonstrated significant but unexplored potentials for large-scale …
various sensors, have demonstrated significant but unexplored potentials for large-scale …
Optimal location privacy preserving and service quality guaranteed task allocation in vehicle-based crowdsensing networks
With increasing popularity of related applications of mobile crowdsensing, especially in the
field of Internet of Vehicles (IoV), task allocation has attracted wide attention. How to select …
field of Internet of Vehicles (IoV), task allocation has attracted wide attention. How to select …
Budgeted unknown worker recruitment for heterogeneous crowdsensing using CMAB
Mobile crowdsensing, through which a requester can coordinate a crowd of workers to
complete some sensing tasks, has attracted significant attention recently. In this paper, we …
complete some sensing tasks, has attracted significant attention recently. In this paper, we …
Coverage-aware stable task assignment in opportunistic mobile crowdsensing
In opportunistic mobile crowdsensing, the objective of service requesters is to have as many
of their sensing tasks completed as possible within their budget constraints, whereas that of …
of their sensing tasks completed as possible within their budget constraints, whereas that of …
Utility-based heterogeneous user recruitment of multitask in mobile crowdsensing
G Ma, H Chen, Y Huang, W Wei, X Liu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the rich sensing ability and extensive usage of various sensors, mobile crowdsensing
(MCS) has become a new paradigm to collect sensing data for various sensing applications …
(MCS) has become a new paradigm to collect sensing data for various sensing applications …
SDRS: A stable data-based recruitment system in IoT crowdsensing for localization tasks
Mobile Crowdsensing (MCS), an important component of the Internet of Things (IoT), is a
paradigm which utilizes people carrying smart devices, referred to as “workers”, to perform …
paradigm which utilizes people carrying smart devices, referred to as “workers”, to perform …
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 …
Truthful user recruitment for cooperative crowdsensing task: A combinatorial multi-armed bandit approach
Mobile Crowdsensing (MCS) is a promising paradigm that recruits users to cooperatively
perform a sensing task. When recruiting users, existing works mainly focus on selecting a …
perform a sensing task. When recruiting users, existing works mainly focus on selecting a …
Harnessing context for budget-limited crowdsensing with massive uncertain workers
Crowdsensing is an emerging paradigm of ubiquitous sensing, through which a crowd of
workers are recruited to perform sensing tasks collaboratively. Although it has stimulated …
workers are recruited to perform sensing tasks collaboratively. Although it has stimulated …