A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing

Z Sun, Y Wang, Z Cai, T Liu, X Tong… - International Journal of …, 2021 - Wiley Online Library
With the rise of the Internet of Things (IoT) and fifth‐generation (5G) networks, which have
led to a surge in data processing and increased data transfer time, traditional cloud …

Credit and quality intelligent learning based multi-armed bandit scheme for unknown worker selection in multimedia MCS

J Tang, F Han, K Fan, W **e, P Yin, Z Qu, A Liu… - Information …, 2023 - Elsevier
The field of intelligent multimedia systems, which rely heavily on multimodal models trained
on large amounts of high-quality data, has been revolutionized by the use of deep learning …

A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing

W Wang, Y Wang, P Duan, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

Intelligent UAVs trajectory optimization from space-time for data collection in social networks

X Liu, H Song, A Liu - IEEE Transactions on Network Science …, 2020 - ieeexplore.ieee.org
With rapid development of artificial intelligence (AI) technology, social network (SN) can use
AI to extract useful knowledge of users to improve the quality of peoples lives. Although AI …

DTD: An intelligent data and bid dual truth discovery scheme for MCS in IIoT

Y Kang, A Liu, NN **ong, S Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a crucial component in the Industrial Internet of Things (IIoT),
mainly due to its role in collecting data and enhancing applications. Nonetheless, it faces …

TVD-RA: A truthful data value discovery based reverse auction incentive system for mobile crowd sensing

H Wang, A Liu, NN **ong, S Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Emerging crowdsensing paradigm enables a large number of sensing applications, where
much attention is drawn to the fundamental problems for maximizing the system utility and …

A UAV-assisted multi-task allocation method for mobile crowd sensing

H Gao, J Feng, Y **ao, B Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Walrasian equilibrium-based multiobjective optimization for task allocation in mobile crowdsourcing

Y Wang, Z Cai, ZH Zhan, B Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of Industry 5.0 and mobile devices, the research of mobile
crowdsensing networks has become an important research focus. Task allocation is an …

Reusing delivery drones for urban crowdsensing

C **ang, Y Zhou, H Dai, Y Qu, S He… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Thanks to the increasing number and massive coverage, delivery drones, equipped with
various sensors, have demonstrated significant but unexplored potentials for large-scale …

Truth based three-tier Combinatorial Multi-Armed Bandit ecosystems for mobile crowdsensing

Y Peng, W Liu, A Liu, T Wang, H Song… - Expert Systems with …, 2024 - Elsevier
Abstract Many Multi-Armed Bandit (MAB) based workers selection schemes have been
proposed to select high-quality workers to enhance the quality of tasks. However, in Mobile …