A deep-reinforcement-learning-based social-aware cooperative caching scheme in D2D communication networks

Y Bai, D Wang, G Huang, B Song - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Device-to-device (D2D) caching is becoming prevalent in relieving network congestion.
However, there remain challenges in exploring efficient D2D caching strategies due to the …

Joint Task Allocation and Trajectory Optimization for Multi-UAV Collaborative Air-Ground Edge Computing

P Qin, J Li, J Zhang, Y Fu - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
With the proliferation of Internet of Things (IoT), compute-intensive and latency-critical
applications continue to emerge. However, IoT devices in isolated locations have insufficient …

DMITS: Dependency and Mobility-Aware Intelligent Task Scheduling in Socially-Enabled VFC Based on Federated DRL Approach

MR Raju, SK Mothku… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a promising research paradigm to address
the demands of vehicular application requests. The dynamic nature of VFC poses …

Energy-efficient collaborative task offloading in multi-access edge computing based on deep reinforcement learning

S Wang, S Zhao, H Gui, X He, Z Lu, B Chen, Z Fan… - Ad Hoc Networks, 2025 - Elsevier
In the multi-access edge computing (MEC), task offloading through device-to-device (D2D)
communication can improve the performance of edge computing by utilizing the …

SMITS: Social and Mobility aware Intelligent Task Scheduling in Vehicular Fog Computing—A Federated DRL Approach

MR Raju, SK Mothku, MK Somesula - Computer Communications, 2024 - Elsevier
Vehicular fog computing (VFC) has become an enticing research hot spot to provide
resources for the Internet of Vehicles (IoV) application requests. Moreover, with the massive …

[HTML][HTML] Maximizing energy efficiency and system throughput using a self-adaptive penalty function with a whale optimization algorithm in social-aware device-to …

K Vinothkumar, T Velmurugan - Results in Engineering, 2024 - Elsevier
Abstract Device-to-device (D2D) communication is an emerging approach for 5 G networks.
It allows for high capacity, low latency, and increased bandwidth. These features have …

Deep Reinforcement Learning with Entropy and Attention Mechanism for D2D-assisted Task Offloading in Edge Computing

C Wang, X Chai, S Peng, Y Yuan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid development of edge computing and the Industrial Internet of Things have
facilitated near real-time optimization of compute-intensive industrial tasks. Mobile edge …

UEE-Delay Balanced Online Resource Optimization for Cooperative MEC-enabled Task Offloading in Dynamic Vehicular Networks

J Su, Z Liu, Y Xie, Y Li, K Ma… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Mobile-edge computing (MEC), pushing the centralized cloud computing, storage, and
communication capability to the edge close to vehicular terminals, is proposed as a …

Communication and Computing Balanced Resource Allocation in D2D-Based Vehicular MEC Networks

J Su, Z Liu, Y Li, J Lee, X Guan - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Increasing demands for Quality of Experience (QoE) lead to massive connectivity and
intensive computation in future vehicular networks. This article proposes a device-to-device …

Goal-Driven Trusted Collaborator Selection and Task Offloading in Dynamic Collaborative Systems

J Chen, X Wang, X Shen - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Given the limited onboard resources and operational time constraints, dynamic collaboration
among moving intelligent machines such as Unmanned Aerial Vehicles (UAVs) and …