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Deep Reinforcement Learning Based Latency Minimization for Mobile Edge Computing With Virtualization in Maritime UAV Communication Network

IEEE Transactions on Vehicular Technology, 2022
The rapid development of maritime activities has led to the emergence of more and more computation-intensive applications. In order to meet the huge demand for wireless communications in maritime environment, mobile edge computing (MEC) is considered as ...
Ying-Ying Liu, Junjie Yan, Xiaohui Zhao
semanticscholar   +1 more source

Digital Twin-Assisted, SFC-Enabled Service Provisioning in Mobile Edge Computing

IEEE Transactions on Mobile Computing
Mobile Edge Computing (MEC) has been identified as a desirable computing paradigm that provides efficient and effective services for various applications, while meeting stringent service delay requirements.
Jing Li   +6 more
semanticscholar   +1 more source

TCDA: Truthful Combinatorial Double Auctions for Mobile Edge Computing in Industrial Internet of Things

IEEE Transactions on Mobile Computing, 2022
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive computing services for industrial Internet of Things (IIoT) applications.
Lianbo Ma   +5 more
semanticscholar   +1 more source

Distributed Machine Learning for Multiuser Mobile Edge Computing Systems

IEEE Journal on Selected Topics in Signal Processing, 2022
In this paper, we investigate a distributed machine learning approach for a multiuser mobile edge computing (MEC) network in a cognitive eavesdropping environment, where multiple secondary devices (SDs) have some tasks with different priorities to be ...
Yinghao Guo   +5 more
semanticscholar   +1 more source

Edge server placement in mobile edge computing

Journal of Parallel and Distributed Computing, 2019
Abstract With the rapid increase in the development of the Internet of Things and 5G networks in the smart city context, a large amount of data (i.e., big data) is expected to be generated, resulting in increased latency for the traditional cloud computing paradigm.
Shangguang Wang   +4 more
openaire   +2 more sources

Resource and Trajectory Optimization for Secure Communications in Dual Unmanned Aerial Vehicle Mobile Edge Computing Systems

IEEE Transactions on Industrial Informatics, 2022
With the maneuverability and mobility control of unmanned aerial vehicle (UAV), carrying mobile edge computing (MEC) servers on UAVs is able to effectively alleviate the explosive growth of data traffic pressure.
Weidang Lu   +6 more
semanticscholar   +1 more source

Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach

IEEE Journal on Selected Areas in Communications, 2021
The prompt evolution of Internet of Medical Things (IoMT) promotes pervasive in-home health monitoring networks. However, excessive requirements of patients result in insufficient spectrum resources and communication overload. Mobile Edge Computing (MEC)
Zhaolong Ning   +8 more
semanticscholar   +1 more source

Profit Maximization Incentive Mechanism for Resource Providers in Mobile Edge Computing

IEEE Transactions on Services Computing, 2022
Mobile edge computing (MEC) has become a promising technique to accommodate demands of resource-constrained mobile devices by offloading the task onto edge clouds nearby.
Quyuan Wang   +4 more
semanticscholar   +1 more source

A practical architecture for mobile edge computing

2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2017
Recently, mobile broadband networks are focused on bringing additional capabilities to the network edge. For instance, Mobile Edge Computing (MEC) brings storage and processing capabilities closer to the mobile user i.e., at the radio access network, in order to deploy services with minimum delay.
Subramanya, Tejas   +5 more
openaire   +3 more sources

Enhancing Mobile Edge Computing Architecture with Human-Driven Edge Computing Model

2018 14th International Conference on Intelligent Environments (IE), 2018
In an increasingly interconnected world, mobile and wearable devices, through short range communication interfaces and sensors, become needful tools for collecting and disseminating information in high population density environments. In this context Mobile Crowdsensing (MCS), leveraging people's roaming and their devices' resources, raised the citizen
Belli D   +3 more
openaire   +4 more sources

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