Joint admission control and resource allocation in edge computing for internet of things
The IoT is a novel platform for making objects more intelligent by connecting to the Internet.
However, mass connections, big data processing, and huge power consumption restrict the …
However, mass connections, big data processing, and huge power consumption restrict the …
Frequency resource allocation and interference management in mobile edge computing for an Internet of Things system
Internet of Things (IoT) systems are characterized by highly automated operating
environments, which comprise several IoT end devices (IDs) that generate vast amounts of …
environments, which comprise several IoT end devices (IDs) that generate vast amounts of …
Resource allocation based on deep reinforcement learning in IoT edge computing
By leveraging mobile edge computing (MEC), a huge amount of data generated by Internet
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
Resource allocation with edge computing in IoT networks via machine learning
In this article, we investigate resource allocation with edge computing in Internet-of-Things
(IoT) networks via machine learning approaches. Edge computing is playing a promising …
(IoT) networks via machine learning approaches. Edge computing is playing a promising …
Power-constrained edge computing with maximum processing capacity for IoT networks
Mobile edge computing (MEC) plays an important role in next-generation networks. It aims
to enhance processing capacity and offer low-latency computing services for Internet of …
to enhance processing capacity and offer low-latency computing services for Internet of …
Workload allocation mechanism for minimum service delay in edge computing-based power Internet of Things
X Niu, S Shao, C Xin, J Zhou, S Guo, X Chen… - IEEE Access, 2019 - ieeexplore.ieee.org
As a novel computing technology closer to business ends, edge computing has become an
effective solution for delay sensitive business of power Internet of Things (IoT) and promotes …
effective solution for delay sensitive business of power Internet of Things (IoT) and promotes …
Emerging edge computing technologies for distributed IoT systems
The ever-increasing growth of connected smart devices and IoT verticals is leading to the
crucial challenges of handling the massive amount of raw data generated by distributed IoT …
crucial challenges of handling the massive amount of raw data generated by distributed IoT …
Optimal edge resource allocation in IoT-based smart cities
With IoT-based smart cities, massive heterogeneous IoT devices are running diverse
advanced services for unprecedented intelligence and efficiency in various domains of city …
advanced services for unprecedented intelligence and efficiency in various domains of city …
Multiuser resource control with deep reinforcement learning in IoT edge computing
By leveraging the concept of mobile edge computing (MEC), massive amount of data
generated by a large number of Internet of Things (IoT) devices could be offloaded to MEC …
generated by a large number of Internet of Things (IoT) devices could be offloaded to MEC …
DeepEdge: A new QoE-based resource allocation framework using deep reinforcement learning for future heterogeneous edge-IoT applications
Edge computing is emerging to empower the future of Internet of Things (IoT) applications.
However, due to heterogeneity of applications, it is a significant challenge for the edge cloud …
However, due to heterogeneity of applications, it is a significant challenge for the edge cloud …
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