Task Offloading and Resource Scheduling in a Vehicle-RSU-Cloud Resource Environment

A 5G mmWave-based task offloading approach for vehicular edge computing

A 5G-based task offloading scheme is proposed, aiming to manage computational resources in a mobility-aware manner by considering vehicle mobility, and adapts task export decisions to changing network conditions, thereby improving system robustness and efficiency.

Joint Heterogeneous Communication, Load-Balanced Offloading, and Cloud-Edge-Edge Collaborative Construction for Centralized Control Systems

The intelligent substation centralized control system faces three intertwined challenges: mixing event-driven and periodic traffic with different QoS needs, sharing limited inspection hosts among multiple substations, and placing cloud-edge-edge nodes to balance delay and load. This paper tackles them together. We buil...

Joint Task Offloading and Resource Allocation with Data Caching in UAV-Aided Mobile Edge Computing Networks for Latency-Sensitive Applications

Simulation results confirm that the proposed JORC framework substantially reduces latency, energy consumption, and overall system cost, while increasing the successful task completion ratio compared to existing baseline approaches.

PPO-Based Task Offloading for Deadline-Aware IoV Services in a Real-Data-Driven Environment

Task offloading is a key enabler for delay-sensitive Internet of Vehicles (IoV) services, where vehicular applications must be executed under strict latency constraints. This paper proposes a Proximal Policy Optimization (PPO)-based binary offloading framework that selects between Multi-access Edge Computing (MEC) and...

Mobility-aware task scheduling in vehicular fog computing networks: a combined DTMC and MMSP approach

Impacts of Heterogeneous Traffic Environments on Vehicle-Infrastructure Collaborative Computing Latency: A Multi-Layer Agent-Based Simulation Approach

Achieving efficient task offloading with low latency in cooperative vehicle-infrastructure systems represents a critical challenge influenced by three key factors: heterogeneous vehicle computational capabilities, dynamic traffic conditions, and variable communication reliability. To address the fundamental trade-off b...