Intelligent energy prediction techniques for fog computing networks
Energy Efficiency is a key concern for future fog-enabled Internet of Things (IoT). Since Fog
Nodes (FNs) are energy-constrained devices, task offloading techniques must consider the …
Nodes (FNs) are energy-constrained devices, task offloading techniques must consider the …
Service satisfaction-oriented task offloading and UAV scheduling in UAV-enabled MEC networks
With the development of computation-intensive applications, unmanned aerial vehicle (UAV)-
enabled multi-access edge computing (MEC) provides task offloading service for the users …
enabled multi-access edge computing (MEC) provides task offloading service for the users …
A resource allocation scheme for joint optimizing energy consumption and delay in collaborative edge computing-based industrial IoT
Z Jin, C Zhang, Y Jin, L Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Attributable to the emergence of mobile edge computing (MEC), the hardware-constrained
industrial devices have further computational and service capability in industrial Internet of …
industrial devices have further computational and service capability in industrial Internet of …
EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing
The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
Dynamic allocation of computing and communication resources in multi-access edge computing for mobile users
The Multi-Access Edge Computing (MEC) constitutes computing over virtualized resources
distributed at the edge of mobile network. For mobile users, an optimal allocation of …
distributed at the edge of mobile network. For mobile users, an optimal allocation of …
ECFA: an efficient convergent firefly algorithm for solving task scheduling problems in cloud-edge computing
In cloud-edge computing paradigms, the integration of edge servers and task offloading
mechanisms has posed new challenges to developing task scheduling strategies. This …
mechanisms has posed new challenges to developing task scheduling strategies. This …
Secure video offloading in MEC-enabled IIoT networks: A multi-cell federated deep reinforcement learning approach
Wireless video offloading in mobile-edge-computing (MEC)-enabled Industrial Internet of
Things imposes a risk of exposing users' private data to eavesdroppers. It is difficult for …
Things imposes a risk of exposing users' private data to eavesdroppers. It is difficult for …
Joint service caching, resource allocation and computation offloading in three-tier cooperative mobile edge computing system
L Wang, G Zhang - IEEE Transactions on Network Science and …, 2023 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) provides cloud-like computing functionalities for mobile
devices (MDs) by deploying servers at the edge of future 6G network. The cooperation …
devices (MDs) by deploying servers at the edge of future 6G network. The cooperation …
Mobility-and energy-aware cooperative edge offloading for dependent computation tasks
Cooperative edge offloading to nearby end devices via Device-to-Device (D2D) links in
edge networks with sliced computing resources has mainly been studied for end devices …
edge networks with sliced computing resources has mainly been studied for end devices …
A novel distributed task scheduling framework for supporting vehicular edge intelligence
In recent years, data-driven intelligent transportation systems (ITS) have developed rapidly
and brought various AI-assisted applications to improve traffic efficiency. However, these …
and brought various AI-assisted applications to improve traffic efficiency. However, these …