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 …
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
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 …
Blockchain-Based Reputation Privacy Preserving for Quality-Aware Worker Recruitment Scheme in MCS
Q Deng, Q Zuo, Z Li, H Liu, Y **e - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Mobile Crowdsourcing (MCS) has become a novel paradigm for enabling data collection by
worker recruitment, and the reputation plays a crucial role in achieving high-quality data …
worker recruitment, and the reputation plays a crucial role in achieving high-quality data …
A trust and privacy-preserving intelligent big data collection scheme in mobile edge-cloud crowdsourcing
As one of important Edge-Cloud solutions, mobile crowd sensing (MCS) platform resides in
the cloud, and recruits massive workers in the edge network to sense data, so big data can …
the cloud, and recruits massive workers in the edge network to sense data, so big data can …
Task allocation under geo-indistinguishability via group-based noise addition
Locations are usually necessary for task allocation in spatial crowdsourcing, which may put
individual privacy in jeopardy without proper protection. Although existing studies have well …
individual privacy in jeopardy without proper protection. Although existing studies have well …
A quality-aware and obfuscation-based data collection scheme for cyber-physical metaverse systems
In pursuit of an immersive virtual experience within the Cyber-Physical Metaverse Systems
(CPMS), the construction of Avatars often requires a significant amount of real-world data …
(CPMS), the construction of Avatars often requires a significant amount of real-world data …
Blockchain-enabled conditional decentralized vehicular crowdsensing system
The rapid growth of connected and autonomous vehicles (CAVs) shows an urgent demand
for driving and transportation-related data, which gives rise to vehicular crowdsensing …
for driving and transportation-related data, which gives rise to vehicular crowdsensing …
CRL-MABA: A Completion Rate Learning Based Accurate Data Collection Scheme in Large-Scale Energy Internet
The Energy Internet (EI) aims to build a sustainable energy ecosystem by connecting
diverse energy sources and prosumers. Mobile Crowd Sensing (MCS) enables efficient data …
diverse energy sources and prosumers. Mobile Crowd Sensing (MCS) enables efficient data …
A Multiplatform-Cooperation-Based Task Assignment Mechanism for Mobile Crowdsensing
Mobile crowdsensing (MCS) has been an effective sensing paradigm by utilizing the smart
devices carried by mobile users to complete sensing tasks at different locations. An …
devices carried by mobile users to complete sensing tasks at different locations. An …