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 …
BTV-CMAB: A Bi-directional trust verification based combinatorial multi-armed bandit scheme for mobile crowdsourcing
Mobile crowdsourcing (MCS) is an emerging paradigm that harnesses the collective power
of the crowd to tackle large-scale tasks. To ensure the high-quality worker selection, various …
of the crowd to tackle large-scale tasks. To ensure the high-quality worker selection, various …
Task-driven cooperative internet of the robotic things crowdsourcing: from the perspective of hierarchical game-theoretic
H Xiao, Z Huang, Z Xu, S Yang, W Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The rapid advancement in robotics technology has catalyzed the emergence of Internet of
the Robotic Things crowdsourcing, a novel paradigm in the digital economy era. However …
the Robotic Things crowdsourcing, a novel paradigm in the digital economy era. However …
Aoi-guaranteed incentive mechanism for mobile crowdsensing with freshness concerns
With the explosive spread of smart mobile devices, Mobile CrowdSensing (MCS) has been
becoming a promising paradigm, by which a platform can coordinate a group of workers to …
becoming a promising paradigm, by which a platform can coordinate a group of workers to …
AoI-aware incentive mechanism for mobile crowdsensing using stackelberg game
Mobile CrowdSensing (MCS) is a mobile computing paradigm, through which a platform can
coordinate a crowd of workers to accomplish large-scale data collection tasks using their …
coordinate a crowd of workers to accomplish large-scale data collection tasks using their …
Employing social participants for timely data collection using pub/sub solutions in dynamic IoT systems
Abstract In Mobile Crowd Sensing (MCS), the platform publishes sensing tasks with the
requirements of location, time and data attributes and hires participants to perform sensing …
requirements of location, time and data attributes and hires participants to perform sensing …
A Game-Enabled Blockchain Consensus and Incentive Mechanism for Secure and Efficient Mobile Crowdsensing
In recent years, mobile crowdsensing has emerged as a key technology for digital city
construction, which acquires sensing data and mining data values with low cost and high …
construction, which acquires sensing data and mining data values with low cost and high …
RLTD: A Reinforcement Learning-based Truth Data Discovery scheme for decision support systems under sustainable environments
The online world and associated information and communication technologies have
generated digital networks by processing massive volumes of data and have a significant …
generated digital networks by processing massive volumes of data and have a significant …