Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …
sources closer to the end user improving responsiveness and reducing backhaul traffic …
Joint wireless power transfer and task offloading in mobile edge computing: a survey
The promising technique of Wireless Power Transfer (WPT) to end devices and sensors has
gained the attention of researchers recently. Mobile edge computing (MEC) is also …
gained the attention of researchers recently. Mobile edge computing (MEC) is also …
Towards effective offloading mechanisms in fog computing
Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …
Reinforcement learning for intelligent online computation offloading in wireless powered edge networks
The method of charging mobile devices with wireless power transfer (WPT) from the base
station (BS) integrated with mobile edge computing (MEC) increases the potential of MEC …
station (BS) integrated with mobile edge computing (MEC) increases the potential of MEC …
Applying machine learning techniques for caching in edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud
resources closer to the end user improving responsiveness and reducing backhaul traffic …
resources closer to the end user improving responsiveness and reducing backhaul traffic …
Cognitive data offloading in mobile edge computing for internet of things
Data offloading to Mobile Edge Computing (MEC) servers is an attractive choice for resource-
constrained Internet of Things (IoT) devices, towards reducing their computational effort. In …
constrained Internet of Things (IoT) devices, towards reducing their computational effort. In …
Task scheduling for smart city applications based on multi-server mobile edge computing
The smart city is increasingly gaining worldwide attention. It has the potential to improve the
quality of life in convenience, at work, and in safety, among many others' utilizations …
quality of life in convenience, at work, and in safety, among many others' utilizations …
Optimized task allocation for IoT application in mobile-edge computing
J Liu, C Liu, B Wang, G Gao… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid upgrading and explosive growth of Internet of Things (IoT) devices in mobile-
edge computing, more and more IoT applications with high resource requirements are …
edge computing, more and more IoT applications with high resource requirements are …
Gradient scheduling with global momentum for asynchronous federated learning in edge environment
Federated Learning has attracted widespread attention in recent years because it allows
massive edge nodes to collaboratively train machine learning models without sharing their …
massive edge nodes to collaboratively train machine learning models without sharing their …
A mobile edge-based crowdsensing framework for heterogeneous iot
In this article, we consider the problem of distributed offloading in mobile crowdsensing
(MCS) by the means of mobile edge computing (MEC). Deploying MEC in MCS can help …
(MCS) by the means of mobile edge computing (MEC). Deploying MEC in MCS can help …