1 citations · 1 across the 4 of their papers we have counts for
4 papers
Enhancing Mobile Crowdsensing Efficiency: A Coverage-aware Resource Allocation Approach
Yaru Fu, Yue Zhang, Zheng Shi +2
In this study, we investigate the resource management challenges in next-generation mobile crowdsensing networks with the goal of minimizing task completion latency while ensuring…
Joint System Latency and Data Freshness Optimization for Cache-enabled Mobile Crowdsensing Networks
Kexin Shi, Yaru Fu, Yongna Guo +2
Mobile crowdsensing (MCS) networks enable large-scale data collection by leveraging the ubiquity of mobile devices. However, frequent sensing and data transmission can lead to sign…
Age-of-Information and Energy Optimization in Digital Twin Edge Networks
Yongna Guo, Yaru Fu, Yan Zhang +1
In this paper, we study the intricate realm of digital twin synchronization and deployment in multi-access edge computing (MEC) networks, with the aim of optimizing and balancing t…
Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach
Wenshuai Liu, Yaru Fu, Yongna Guo +3
Digital twins (DTs) have emerged as a promising enabler for representing the real-time states of physical worlds and realizing self-sustaining systems. In practice, DTs of physical…