Service caching and computation reuse strategies at the edge: A survey

C Barrios, M Kumar - ACM Computing Surveys, 2023 - dl.acm.org
With the proliferation of connected devices including smartphones, novel network
connectivity and management methods are needed to meet user Quality of Experience …

RADiT: Resource allocation in digital twin-driven UAV-aided internet of vehicle networks

B Hazarika, K Singh, CP Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

Network Digital Twins: A Systematic Review

R Verdecchia, L Scommegna, B Picano… - IEEE …, 2024 - ieeexplore.ieee.org
Network management is becoming more complex due to various factors. The growth of IoT
increases the number of nodes to control. The combination of Edge and Fog Computing with …

Cooperative task offloading and service caching for digital twin edge networks: A graph attention multi-agent reinforcement learning approach

Z Yao, S **a, Y Li, G Wu - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …

GRTR: Gradient rebalanced traffic sign recognition for autonomous vehicles

K Guo, Z Wu, W Wang, S Ren, X Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Traffic sign recognition is a crucial aspect of autonomous vehicle research, and deep
learning techniques have significantly contributed to its progress. Nevertheless, the …

Deep deterministic policy gradient-based algorithm for computation offloading in iov

H Li, C Chen, H Shan, P Li, YC Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The continuous evolution of cellular networks has resulted in the rapid increase in both
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …

Task-efficiency oriented V2X communications: Digital twin meets mobile edge computing

G Cai, B Fan, Y Dong, T Li, Y Wu… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Digital Twin (DT) has emerged as an enabling technology for sixth generation (6G) vehicle-
to-everything (V2X) communications. However, there are two crucial issues on leveraging …

6G-enabled anomaly detection for metaverse healthcare analytics in Internet of Things

X Wu, Y Yang, M Bilal, L Qi, X Xu - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
As an emerging concept, the metaverse incorporates a range of advanced technologies and
offers a great opportunity to enhance the experiences of healthcare in clinical practice and …

Secrecy-driven energy minimization in federated learning-assisted marine digital twin networks

LP Qian, M Li, P Ye, Q Wang, B Lin… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Digital twin has been emerging as a promising paradigm that connects physical entities and
digital space, and continuously evolves to optimize the physical systems. In this article, we …

Intelligent Caching Based on Popular Content in Vehicular Networks: A Deep Transfer Learning Approach

MWA Ashraf, A Raza, AR Singh… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Information-centric networking (ICN) allows data to be cached at each node in the network. It
is vital in vehicular networks (VNs) to improve caching performance and reduce content …