Management and orchestration of edge computing for IoT: A comprehensive survey
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …
applications in the past decades, the traditional cloud network architecture becomes unable …
FairHealth: Long-term proportional fairness-driven 5G edge healthcare in Internet of medical things
X Lin, J Wu, AK Bashir, W Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, the Internet of Medical Things (IoMT) could offload healthcare services to 5G edge
computing for low latency. However, some existing works assumed altruistic patients will …
computing for low latency. However, some existing works assumed altruistic patients will …
Multi-type task offloading for wireless internet of things by federated deep reinforcement learning
With the popularity of Internet of Things (IoT) smart devices, the amount of data generated by
these devices has grown rapidly. In these mobile edge computing (MEC) environments, it is …
these devices has grown rapidly. In these mobile edge computing (MEC) environments, it is …
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 …
Unlocking metaverse-as-a-service the three pillars to watch: Privacy and security, edge computing, and blockchain
In this article, the authors provide a comprehensive overview on three core pillars of
metaverse-as-a-service (MaaS) platforms; privacy and security, edge computing, and …
metaverse-as-a-service (MaaS) platforms; privacy and security, edge computing, and …
Deep Reinforcement Learning‐Based Multireconfigurable Intelligent Surface for MEC Offloading
Computational offloading in mobile edge computing (MEC) systems provides an efficient
solution for resource‐intensive applications on devices. However, the frequent …
solution for resource‐intensive applications on devices. However, the frequent …
Cooperative partial task offloading and resource allocation for iiot based on decentralized multi-agent deep reinforcement learning
Edge computing has become increasingly important to fulfill the diversified Quality-of-
Service (QoS) or Quality-of-Experience (QoE) demands for Industrial Internet of Things (IIoT) …
Service (QoS) or Quality-of-Experience (QoE) demands for Industrial Internet of Things (IIoT) …
Joint optimization of offloading strategy and resource allocation for multi-user in dynamic vehicular edge computing systems
Z Du, Y Ni, H Tao, M Yin - Simulation Modelling Practice and Theory, 2024 - Elsevier
Abstract Internet of Vehicles (IoV) relies heavily on its computing capability to facilitate
various vehicular applications. Since the cloud computing or mobile edge computing (MEC) …
various vehicular applications. Since the cloud computing or mobile edge computing (MEC) …
Collaborative task offloading and service caching strategy for mobile edge computing
X Liu, X Zhao, G Liu, F Huang, T Huang, Y Wu - Sensors, 2022 - mdpi.com
Mobile edge computing (MEC), which sinks the functions of cloud servers, has become an
emerging paradigm to solve the contradiction between delay-sensitive tasks and resource …
emerging paradigm to solve the contradiction between delay-sensitive tasks and resource …
A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving
Recently, various infrastructure-assisted or onboard driving assistant applications have
been proposed as a component of intelligent transportation systems (ITS) to improve the …
been proposed as a component of intelligent transportation systems (ITS) to improve the …