Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
Digital twin—Cyber replica of physical things: Architecture, applications and future research directions
The Internet of Things (IoT) connects massive smart devices to collect big data and carry out
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
Toward the internet of things for physical internet: Perspectives and challenges
H Tran-Dang, N Krommenacker… - IEEE internet of …, 2020 - ieeexplore.ieee.org
The Physical Internet (PI, or π) paradigm has been developed to be a global logistics system
that aims to move, handle, store, and transport logistics products in a sustainable and …
that aims to move, handle, store, and transport logistics products in a sustainable and …
The Internet of Things for logistics: Perspectives, application review, and challenges
H Tran-Dang, N Krommenacker… - IETE Technical …, 2022 - Taylor & Francis
The Internet of Things (IoT) vision enables multiple of resource-constrained embedded
devices, objects, and humans to connect together through the Internet protocol for a …
devices, objects, and humans to connect together through the Internet protocol for a …
A compressive sensing-based approach to end-to-end network traffic reconstruction
Estimation of end-to-end network traffic plays an important role in traffic engineering and
network planning. The direct measurement of a network's traffic matrix consumes large …
network planning. The direct measurement of a network's traffic matrix consumes large …
Energy efficiency optimization for backscatter enhanced NOMA cooperative V2X communications under imperfect CSI
Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide
robust, computationally intelligent, and energy-efficient data sharing among various onboard …
robust, computationally intelligent, and energy-efficient data sharing among various onboard …
Privacy-preserving content dissemination for vehicular social networks: Challenges and solutions
Vehicular social networks (VSNs), viewed as the integration of traditional vehicular networks
and social networks, are promising communication platforms based on the development of …
and social networks, are promising communication platforms based on the development of …
Big data analytics for large-scale wireless networks: Challenges and opportunities
The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
Dynamic edge computation offloading for internet of vehicles with deep reinforcement learning
Recent developments in the Internet of Vehicles (IoV) enabled the myriad emergence of a
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …
Power-domain non orthogonal multiple access (PD-NOMA) in cooperative networks: an overview
Non-orthogonal multiple access (NOMA) scheme is emerging as a favourable multiple
access scheme for future 5G networks. Compared to orthogonal multiple access techniques …
access scheme for future 5G networks. Compared to orthogonal multiple access techniques …