Incentive techniques for the internet of things: a survey

PKR Maddikunta, QV Pham, DC Nguyen… - Journal of Network and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey

Z Chen, C Fiandrino, B Kantarci - Journal of Systems Architecture, 2021 - Elsevier
As an integral part of Internet of Things (IoT), mobile crowdsensing (MCS) via smart
embedded devices has recently gained significant attention for being effective in a wide …

Incentive mechanism design of federated learning for recommendation systems in MEC

J Huang, B Ma, M Wang, X Zhou, L Yao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the rapid development of consumer electronics and communication technology, a large
amount of data is generated from end users at the edge of the networks. Modern …

Cooperative data sensing and computation offloading in UAV-assisted crowdsensing with multi-agent deep reinforcement learning

T Cai, Z Yang, Y Chen, W Chen… - … on Network Science …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be leveragedin mobile crowdsensing (MCS) to
conduct sensing tasks at remote or rural areas through computation offloading and data …

DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing

J Tang, K Fan, P Yin, Z Qu, A Liu, NN ** air into the lungs, which is a life-
saving supportive therapy in an intensive care unit (ICU). In clinical scenarios, each patient …

TDTA: A truth detection based task assignment scheme for mobile crowdsourced Industrial Internet of Things

R Zhang, Z Li, NN **ong, S Zhang, A Liu - Information Sciences, 2022 - Elsevier
Abstract Mobile Crowdsensing (MCs), a promising strategy for intelligent data collection and
task computing, is conducive to constructing industrial system and providing industrial …

Fair incentive mechanism with imperfect quality in privacy-preserving crowdsensing

Y Li, F Li, L Zhu, H Chen, T Li… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) enables a platform to recruit users to collectively perform
sensing tasks from requesters. In order to maximize the completion qualities of tasks, an …

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 …