A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
way of collecting data for smart cities applications. However, there often exist situations …
Walrasian equilibrium-based multiobjective optimization for task allocation in mobile crowdsourcing
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 …
crowdsensing networks has become an important research focus. Task allocation is an …
Reusing delivery drones for urban crowdsensing
Thanks to the increasing number and massive coverage, delivery drones, equipped with
various sensors, have demonstrated significant but unexplored potentials for large-scale …
various sensors, have demonstrated significant but unexplored potentials for large-scale …
Truth based three-tier Combinatorial Multi-Armed Bandit ecosystems for mobile crowdsensing
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 …
proposed to select high-quality workers to enhance the quality of tasks. However, in Mobile …