A comprehensive survey on mobile crowdsensing systems

D Suhag, V Jha - Journal of Systems Architecture, 2023 - Elsevier
Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …

SQCS: A sustainable quality control system for spatial crowdsourcing via three-party evolutionary game: Theory and practice

H Wang, W Liu, A Liu, T Wang, H Song… - Expert Systems with …, 2024 - Elsevier
Quality control of sensing data poses a fundamental challenge in Spatial Crowdsourcing
(SC) applications, and various incentive mechanisms have been proposed to effectively …

[HTML][HTML] Emergency management through information crowdsourcing

L Grassi, M Ciranni, P Baglietto, CT Recchiuto… - Information Processing …, 2023 - Elsevier
This article proposes a new framework to model a scenario in which First Responders,
citizens, smart devices, or robots explore the environment in an emergency situation, ie, after …

Research Progress on Incentive Mechanisms in Mobile Crowdsensing

E Wu, Z Peng - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the continuous improvement of the sensing, transmission, storage, and computing
capabilities of mobile devices, they have become important tools for perceiving the physical …

A reinforcement learning-based incentive mechanism for task allocation under spatiotemporal crowdsensing

K Jiang, Y Wang, H Wang, Z Liu, Q Han… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the development of the Industrial Internet of Things (IoT), the work of large-scale data
collection makes spatiotemporal crowdsensing (SC) play an important role. Mobile devices …

PRS-HDMC: An online participant recruitment scheme for vehicular crowdsensing-enabled HD map collection

Y Ren, J Xiao, Y Zhao, H Jiang, S Kumari, H Yu - Internet of Things, 2023 - Elsevier
The emergence of vehicular crowdsensing (VCS) brings new opportunities and possibilities
for the collection of High-Definition (HD) maps. Unlike traditional mapping methods, VCS …

A reputation-based and privacy-preserving incentive scheme for mobile crowd sensing: A deep reinforcement learning approach

J Zhang, X Li, Z Shi, C Zhu - Wireless Networks, 2024 - Springer
Mobile crowdsensing (MCS) utilizes the mobility of participating users and relies on the
sensing ability of user devices to complete high-quality sensing tasks with limited cost …

[HTML][HTML] A tripartite evolutionary game analysis of participant decision-making behavior in mobile crowdsourcing

H Hao, J Yang, J Wang - Mathematics, 2023 - mdpi.com
With the rapid development of the Internet of Things and the popularity of numerous sensing
devices, Mobile crowdsourcing (MCS) has become a paradigm for collecting sensing data …

A trustworthiness-aware spatial task allocation using a fuzzy-based trust and reputation system approach

MM Rahman, NA Abdullah - Expert Systems with Applications, 2023 - Elsevier
Abstract Unlike crowdsourcing, Spatial Crowdsourcing (SC) requires workers to travel to a
specific physical location to accomplish a task. Due to its open concept, the platform accepts …

[PDF][PDF] A blockchain-based creditable and distributed incentive mechanism for participant mobile crowdsensing in edge computing

S Chen, B Li, L Rui, J Wang, X Chen - … Biosciences and Engineering, 2022 - aimspress.com
With the popularization of portable smart devices, the advance in ubiquitous connectivity
and the Internet of Things (IoT), mobile crowdsensing is becoming one of the promising …