Results 21 to 30 of about 14,854 (207)

5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance

open access: yesIEEE Access, 2023
The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter requirements. Multi-access Edge Computing (MEC) is a key technology that enables these new services by deploying multiple devices with computing and storage ...
Gianfranco Nencioni   +2 more
doaj   +1 more source

Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

open access: yes, 2021
In recent years, multi-access edge computing (MEC) is a key enabler for handling the massive expansion of Internet of Things (IoT) applications and services.
Abedin, Sarder Fakhrul   +5 more
core   +1 more source

Optimal association of mobile users to multi-access edge computing resources [PDF]

open access: yes, 2018
Multi-access edge computing (MEC) plays a key role in fifth-generation (5G) networks in bringing cloud functionalities at the edge of the radio access network, in close proximity to mobile users.
Barbarossa, Sergio   +2 more
core   +1 more source

Optimizing Task Offloading Energy in Multi-User Multi-UAV-Enabled Mobile Edge-Cloud Computing Systems

open access: yesApplied Sciences, 2022
With the emergence of various new Internet of Things (IoT) devices and the rapid increase in the number of users, enormous services and complex applications are growing rapidly.
Soha Alhelaly   +2 more
doaj   +1 more source

The Delay-Constrained and Network-Situation-Aware V2V2I VANET Data Offloading Based on the Multi-Access Edge Computing (MEC) Architecture [PDF]

open access: yesIEEE Open Journal of Vehicular Technology, 2020
This paper proposes a Multi-access Edge Computing (MEC)-based delay-constrained k-hop-limited VANET data offloading method. In the proposed method, a vehicle X can launch the vehicle-to-vehicle-to-infrastructure (V2V2I) VANET data offload from the cellular network to the IEEE 802.11p/802.11bd Road Side Unit (RSU) when (i) X is not in the corresponding ...
Chung-Ming Huang, Chi-Feng Lai
openaire   +2 more sources

DQN-based resource allocation for NOMA-MEC-aided multi-source data stream

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge computing (MEC) network with multiple sources and one computing access point (CAP), in which NOMA technology is applied to transmit multi-source data streams to CAP for ...
Jing Ling   +5 more
doaj   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

open access: yesIET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

A survey on mobility-induced service migration in the fog, edge, and related computing paradigms [PDF]

open access: yes, 2019
The final publication is available at ACM via http://dx.doi.org/10.1145/3326540With the advent of fog and edge computing paradigms, computation capabilities have been moved toward the edge of the network to support the requirements of highly demanding ...
Marín Tordera, Eva   +2 more
core   +3 more sources

Distributed wireless network resource optimisation method based on mobile edge computing

open access: yesIET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang   +4 more
wiley   +1 more source

A Novel Approach to the Job Shop Scheduling Problem Based on the Deep Q-Network in a Cooperative Multi-Access Edge Computing Ecosystem

open access: yesSensors, 2021
In this study, based on multi-access edge computing (MEC), we provided the possibility of cooperating manufacturing processes. We tried to solve the job shop scheduling problem by applying DQN (deep Q-network), a reinforcement learning model, to this ...
Junhyung Moon   +2 more
doaj   +1 more source

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