A three-party hierarchical game for physical layer security aware wireless communications with dynamic trilateral coalitions

R Chen, C Yi, K Zhu, B Chen, J Cai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, a novel hierarchical game framework for physical layer security (PLS) aware
wireless communications with dynamic trilateral coalitions is studied. In the considered …

Dynamic Human Digital Twin Deployment at the Edge for Task Execution: A Two-Timescale Accuracy-Aware Online Optimization

Y Yang, Y Shi, C Yi, J Cai, J Kang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Human digital twin (HDT) is an emerging paradigm that bridges physical twins (PTs) with
powerful virtual twins (VTs) for assisting complex task executions in human-centric services …

Towards Online Reliability-Enhanced Microservice Deployment With Layer Sharing in Edge Computing

Y Shi, Y Yang, C Yi, B Chen… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Container–based microservice provisioning, with its elasticity in terms of the layered
structure, enables the sharing of common layers among different edge computing tasks, both …

SIC-Enabled Intelligent Online Task Concurrent Offloading for Wireless Powered MEC

X Jiao, Y Chen, Y Chen, X Wu, S Guo… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The promising wireless powered mobile edge computing (MEC) can offer sustainable
energy and fast network service response for nearby wireless terminals (WTs) to satisfy real …

UAV-Assisted Active Sparse Crowdsensing for Ground Signal Map Construction Based on 3-D Spatial-Temporal Correlation

C Liu, K Zhu, C Tao, B Chen… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has been applied for signal map construction in smart city.
MCS leverages the mobility of users and the sensors embedded in mobile phones to collect …

A Reinforcement Learning Based Stochastic Game for Energy-Efficient UAV Swarm Assisted MEC With Dynamic Clustering and Scheduling

J Li, C Yi, J Chen, Y Shi, T Zhang, X Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this paper, we study the energy-efficient unmanned aerial vehicle (UAV) swarm assisted
mobile edge computing (MEC) with dynamic clustering and scheduling. In the considered …

Latency-Energy Aware Dynamic Application Placement for Edge Computing: A Vacation Queue Based Optimization Approach

S Shang, C Yi, T Zhang, R Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper studies the dynamic application placement for edge computing with a variety of
random task arrivals (or task offloading requests). Since the storage capacity of the edge …

E2MS: An Efficient and Economical Microservice Migration Strategy for Smart Manufacturing

Y Liu, B Yang, X Ren, Q Liu, S Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The microservice architecture has gained widespread adoption in smart manufacturing,
enabling the collaborative completion of production tasks through the integration of multiple …

Energy-Efficient UAV Swarm Assisted MEC with Dynamic Clustering and Scheduling

J Li, J Chen, C Yi, T Zhang, K Zhu, J Cai - arXiv preprint arXiv:2402.18936, 2024 - arxiv.org
In this paper, the energy-efficient unmanned aerial vehicle (UAV) swarm assisted mobile
edge computing (MEC) with dynamic clustering and scheduling is studied. In the considered …

A Two-Timescale Online Optimization for Balancing Service Migration and Task Rerouting in MEC

Y Shi, C Yi, B Chen, C Yang… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
In this paper, a novel two-timescale resource management framework for mobile edge
computing (MEC) is constructed. For providing seamless and cost-efficient MEC services …