Task allocation in mobile crowd sensing: State-of-the-art and future opportunities

J Wang, L Wang, Y Wang, D Zhang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …

Task allocation in spatial crowdsourcing: Current state and future directions

B Guo, Y Liu, L Wang, VOK Li… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

Spatial crowdsourcing: a survey

Y Tong, Z Zhou, Y Zeng, L Chen, C Shahabi - The VLDB Journal, 2020 - Springer
Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

A combined fuzzy DEMATEL and TOPSIS approach for estimating participants in knowledge-intensive crowdsourcing

X Zhang, J Su - Computers & Industrial Engineering, 2019 - Elsevier
Estimating proper participants is an important way to ensure the quality of tasks' outcomes in
knowledge-intensive crowdsourcing (KI-C). The choice of a proper participant is a complex …

Heterogeneous multi-task assignment in mobile crowdsensing using spatiotemporal correlation

L Wang, Z Yu, D Zhang, B Guo… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a new paradigm to collect sensing data and infer useful
knowledge over a vast area for numerous monitoring applications. In urban environments …

Multi-skilling in scheduling problems: A review on models, methods and applications

B Afshar-Nadjafi - Computers & Industrial Engineering, 2021 - Elsevier
Multi-skilling provides an organization with the ability to arrange its workers to meet the
certain needs for several skills. This paper reviews the literature on scheduling problems …

In pursuit of beauty: Aesthetic-aware and context-adaptive photo selection in crowdsensing

T Zhou, Z Cai, F Liu, J Su - IEEE Transactions on Knowledge …, 2023 - ieeexplore.ieee.org
The pervasive view of the mobile crowd bridges various real-world scenes and people's
perceptions with the gathering of distributed crowdsensing photos. To elaborate informative …

Multi-objective optimization based allocation of heterogeneous spatial crowdsourcing tasks

L Wang, Z Yu, Q Han, B Guo… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the rapid development of mobile networks and the proliferation of mobile devices,
spatial crowdsourcing, which refers to recruiting mobile workers to perform location-based …

Spatial crowdsourcing: Challenges, techniques, and applications

Y Tong, L Chen, C Shahabi - Proceedings of the VLDB Endowment, 2017 - dl.acm.org
Crowdsourcing is a new computing paradigm where humans are actively enrolled to
participate in the procedure of computing, especially for tasks that are intrinsically easier for …

Predictive task assignment in spatial crowdsourcing: a data-driven approach

Y Zhao, K Zheng, Y Cui, H Su, F Zhu… - 2020 IEEE 36th …, 2020 - ieeexplore.ieee.org
With the rapid development of mobile networks and the widespread usage of mobile
devices, spatial crowdsourcing, which refers to assigning location-based tasks to moving …