Deep reinforcement learning for autonomous internet of things: Model, applications and challenges
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …
around the world, where the IoT devices collect and share information to reflect status of the …
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 …
Maximization of wireless sensor network lifetime using solar energy harvesting for smart agriculture monitoring
The wireless sensor networks (WSNs) are used for the real-life implementation of the
Internet of Things (IoT) in smart agriculture, smart buildings, smart cities, and online …
Internet of Things (IoT) in smart agriculture, smart buildings, smart cities, and online …
[HTML][HTML] Framework for implementing air quality monitoring system using LPWA-based IoT technique
More attention is being paid to air quality monitoring in today's society because of the rapid
rise of industrial and transportation uses. Conventional air quality monitoring systems, on the …
rise of industrial and transportation uses. Conventional air quality monitoring systems, on the …
Accuracy-guaranteed collaborative DNN inference in industrial IoT via deep reinforcement learning
Collaboration among industrial Internet of Things (IoT) devices and edge networks is
essential to support computation-intensive deep neural network (DNN) inference services …
essential to support computation-intensive deep neural network (DNN) inference services …
Design and implementation of LPWA-based air quality monitoring system
Increasing attention has been paid to air quality monitoring with a rapid development in
industry and transportation applications in the modern society. However, the existing air …
industry and transportation applications in the modern society. However, the existing air …
Joint computation offloading and multiuser scheduling using approximate dynamic programming in NB-IoT edge computing system
The Internet of Things (IoT) connects a huge number of resource-constraint IoT devices to
the Internet, which generate massive amount of data that can be offloaded to the cloud for …
the Internet, which generate massive amount of data that can be offloaded to the cloud for …
Towards energy-efficient wireless networking in the big data era: A survey
With the proliferation of wireless devices, wireless networks in various forms have become
global information infrastructure and an important part of our daily life, which, at the same …
global information infrastructure and an important part of our daily life, which, at the same …
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 …
An ant colony optimization approach for the deployment of reliable wireless sensor networks
DS Deif, Y Gadallah - IEEE Access, 2017 - ieeexplore.ieee.org
A reliable wireless sensor network (WSN) is defined as a network that functions
satisfactorily, in terms of both its coverage and connectivity to the sink (s), throughout its …
satisfactorily, in terms of both its coverage and connectivity to the sink (s), throughout its …