Learning-based energy-efficient resource management by heterogeneous RF/VLC for ultra-reliable low-latency industrial IoT networks
H Yang, A Alphones, WD Zhong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Smart factory under Industry 4.0 and industrial Internet of Things (IoT) has attracted much
attention from both academia and industry. In wireless industrial networks, industrial IoT and …
attention from both academia and industry. In wireless industrial networks, industrial IoT and …
Traffic and computation co-offloading with reinforcement learning in fog computing for industrial applications
In the past decade, network data communication has experienced a rapid growth, which has
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …
Edge QoE: Computation offloading with deep reinforcement learning for Internet of Things
H Lu, X He, M Du, X Ruan, Y Sun… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In edge-enabled Internet of Things (IoT), computation offloading service is expected to offer
users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing …
users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing …
Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities
S Sadowski, P Spachos - Computers and Electronics in Agriculture, 2020 - Elsevier
Technological advances in the Internet of Things (IoT) have paved the way for wireless
technologies to be used in new areas. Agricultural monitoring is an example where IoT can …
technologies to be used in new areas. Agricultural monitoring is an example where IoT can …
Industrial Internet of Things: A systematic literature review and insights
Y Liao, EFR Loures… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The connection of embedded computing devices via the Internet has dramatically changed
the way people live. This concept has also been extended to the industrial sector. It not only …
the way people live. This concept has also been extended to the industrial sector. It not only …
Data management in industry 4.0: State of the art and open challenges
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …
manufacturing systems, expediting the generation of large volumes of industrial data. This …
Energy-efficient deep CNN for smoke detection in foggy IoT environment
Smoke detection in Internet of Things (IoT) environment is a primary component of early
disaster-related event detection in smart cities. Recently, several smoke and fire detection …
disaster-related event detection in smart cities. Recently, several smoke and fire detection …
Intelligent resource management in blockchain-based cloud datacenters
Nowadays, more and more companies migrate business from their own servers to the cloud.
With the influx of computational requests, datacenters consume tremendous energy every …
With the influx of computational requests, datacenters consume tremendous energy every …
Resource allocation for ultra-dense networks: A survey, some research issues and challenges
Driven by the explosive data traffic and new quality of service requirement of mobile users,
the communication industry has been experiencing a new evolution by means of network …
the communication industry has been experiencing a new evolution by means of network …
Green resource allocation based on deep reinforcement learning in content-centric IoT
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …