539 citations · 808 across the 23 of their papers we have counts for
6 papers · 1 filter
Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration
Junhong Zhang, Jiangtian Nie, Jinbo Wen +4
Vehicular metaverses are an emerging paradigm that integrates extended reality technologies and real-time sensing data to bridge the physical space and digital spaces for intellige…
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness
Jiawen Kang, Jinbo Wen, Dongdong Ye +7
Given the revolutionary role of metaverses, healthcare metaverses are emerging as a transformative force, creating intelligent healthcare systems that offer immersive and personali…
Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approaches
Xumin Huang, Weifeng Zhong, Jiangtian Nie +4
Metaverse as the next-generation Internet provides users with physical-virtual world interactions. To improve the quality of immersive experience, users access to Metaverse service…
Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI
Jiawen Kang, Dongdong Ye, Jiangtian Nie +6
The emerging industrial metaverses realize the mapping and expanding operations of physical industry into virtual space for significantly upgrading intelligent manufacturing. The i…
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)
Jiangtian Nie, Jun Luo, Zehui Xiong +2
Mobile crowdsensing has shown a great potential to address large-scale data sensing problems by allocating sensing tasks to pervasive mobile users. The mobile users will participat…
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
Jiangtian Nie, Zehui Xiong, Dusit Niyato +2
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsens…