Lyapunov-based partial computation offloading for multiple mobile devices enabled by harvested energy in MEC
Mobile-edge computing (MEC) has been garnering considerable level of interests by
processing computation tasks nearby mobile devices (MDs). With limited computation and …
processing computation tasks nearby mobile devices (MDs). With limited computation and …
POST: Parallel offloading of splittable tasks in heterogeneous fog networks
Fog computing has been promoted to support delay-sensitive applications in future Internet
of Things (IoT). For a general heterogeneous fog network consisting of many dispersive fog …
of Things (IoT). For a general heterogeneous fog network consisting of many dispersive fog …
Multiuser computation offloading and resource allocation for cloud–edge heterogeneous network
Q Chen, Z Kuang, L Zhao - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Cloud–edge heterogeneous network is an emerging technique built on edge infrastructure,
which is based on the core of cloud computing technology and edge computing capabilities …
which is based on the core of cloud computing technology and edge computing capabilities …
Energy-efficient multi-task multi-access computation offloading via NOMA transmission for IoTs
Driven by the explosive growth in computation-intensive applications in future 5G networks
and industries, mobile edge computing (MEC), which enables smart terminals (STs) to …
and industries, mobile edge computing (MEC), which enables smart terminals (STs) to …
[HTML][HTML] UbiPriSEQ—Deep reinforcement learning to manage privacy, security, energy, and QoS in 5G IoT hetnets
5G networks and Internet of Things (IoT) offer a powerful platform for ubiquitous
environments with their ubiquitous sensing, high speeds and other benefits. The data …
environments with their ubiquitous sensing, high speeds and other benefits. The data …
Energy-efficient cooperative resource allocation and task scheduling for Internet of Things environments
Abstract Offloading Internet of Things (IoT) tasks to the cloud for further processing might not
always lead to an optimal execution time, particularly in situations such as resource …
always lead to an optimal execution time, particularly in situations such as resource …
Computation offloading and tasks scheduling for the internet of vehicles in edge computing: A deep reinforcement learning-based pointer network approach
X Ju, S Su, C Xu, H Wang - Computer Networks, 2023 - Elsevier
Abstract In the Internet of Vehicles, vehicles can offload computation tasks to edge servers
for execution. So, execution delay of tasks and energy consumption of vehicles can be …
for execution. So, execution delay of tasks and energy consumption of vehicles can be …
Decentralized computation offloading in IoT fog computing system with energy harvesting: A dec-POMDP approach
Recently, fog computing has emerged as a prospective technique to provide pervasive and
agile computation services for Internet-of-Things (IoT) devices and support advanced …
agile computation services for Internet-of-Things (IoT) devices and support advanced …
Collaborative AI-enabled intelligent partial service provisioning in green industrial fog networks
With the evolutionary development of the latency-sensitive industrial Internet-of-Things (IIoT)
applications, delay restriction becomes a critical challenge, which can be resolved by …
applications, delay restriction becomes a critical challenge, which can be resolved by …
Online partial offloading and task scheduling in SDN-fog networks with deep recurrent reinforcement learning
Smart industries enabling automation and data exchange in manufacturing technologies
demanding real-time processing, nearby storage, and reliability, all of which can be satisfied …
demanding real-time processing, nearby storage, and reliability, all of which can be satisfied …