Deep Reinforcement Learning-Based Contract Incentive Mechanism for Joint Sensing and Computation in Mobile Crowdsourcing Networks

N Zhao, Y Pei, YC Liang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Mobile crowdsourcing network is a promising paradigm to leverage mobile users (MUs) to
perform large-scale sensing task. Due to limited sensing-computation resource and data …

A deep reinforcement learning-based contract incentive mechanism for mobile crowdsourcing networks

N Zhao, Y Pei, YC Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile crowdsourcing network (MCN) is a promising paradigm to leverage mobile users
(MUs) to provide sensing services by data collection. However, owing to limited sensing …

Contract-based incentive mechanism for mobile crowdsourcing networks

N Zhao, M Fan, C Tian, P Fan - Algorithms, 2017 - mdpi.com
Mobile crowdsourcing networks (MCNs) are a promising method of data collecting and
processing by leveraging the mobile devices' sensing and computing capabilities. However …

Dynamic incentive mechanism in mobile crowdsourcing networks by combining reputation and contract theory

N Zhao, Q Wan, J Chen, M Wu - International Journal of …, 2022 - journals.sagepub.com
By utilizing the mobile terminals' sensing and computing capabilities, mobile crowdsourcing
network is considered to be a promising technology to support the various large-scale …

A Contract-Based Incentive Mechanism for Joint Data Sensing and Communication in Mobile Crowdsourcing Networks

N Zhao, H Zhu, Y Sun, Y Pei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile crowdsourcing (MCS) has become an innovative technology that utilizes mobile
users for data sensing and collecting. However, due to the selfishness of mobile users and …

How mobile contributors will interact with each other in mobile crowdsourcing with word of mouth mode

F Zeng, R Wang, J Wu - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile crowdsourcing is a promising paradigm for collecting sensing data by leveraging
contributions of numerous mobile smart phones. It works efficiently with Word of Mouth Mode …

A time and location correlation incentive scheme for deep data gathering in crowdsourcing networks

F Ma, X Liu, A Liu, M Zhao, C Huang… - … and Mobile Computing, 2018 - Wiley Online Library
To tackle the issue in deep crowd sensing, a Time and Location Correlation Incentive (TLCI)
scheme is proposed for deep data gathering in crowdsourcing networks. In TLCI scheme, a …

Reward or penalty: Aligning incentives of stakeholders in crowdsourcing

J Xu, S Wang, N Zhang, F Yang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Crowdsourcing is a promising platform, whereby massive tasks are broadcasted to a crowd
of semi-skilled workers by the requester for reliable solutions. In this paper, we consider four …

Incentive mechanism design for mobile crowdsensing considering social networks

D Guo, X Feng, H Zheng - 2020 IEEE 6th International …, 2020 - ieeexplore.ieee.org
Based on the popularity of intelligent embedded devices, mobile crowdsensing emerged as
a new paradigm of crowdsourcing perception. However, it often faces the problem of low …

Recruitment From Social Networks for the Cold Start Problem in Mobile Crowdsourcing

P Wang, Z Li, S Long, J Wang, Z Tan… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Mobile crowdsourcing (MCS) endeavors to attain reliable truth by recruiting large numbers
of users with handheld mobile devices to collect data. However, during the early stages of …