Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things
The maritime Internet of Things (IoT) has recently emerged as a revolutionary
communication paradigm where a large number of moving vessels are closely …
communication paradigm where a large number of moving vessels are closely …
6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities
We are on the cusp of a new era of connected autonomous vehicles with unprecedented
user experiences, tremendously improved road safety and air quality, highly diverse …
user experiences, tremendously improved road safety and air quality, highly diverse …
Integrated satellite-terrestrial networks toward 6G: Architectures, applications, and challenges
X Zhu, C Jiang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
With the increasing global communication demands and the development of Internet of
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Learning in the air: Secure federated learning for UAV-assisted crowdsensing
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have opened a
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …
6G massive radio access networks: Key applications, requirements and challenges
Driven by the emerging use cases in massive access future networks, technological
advancements and evolutions are needed for wireless communications beyond the fifth …
advancements and evolutions are needed for wireless communications beyond the fifth …
Beyond D2D: Full dimension UAV-to-everything communications in 6G
In this paper, we consider an Internet of unmanned aerial vehicles (UAVs) over cellular
networks, where UAVs work as aerial users to collect various sensory data, and send the …
networks, where UAVs work as aerial users to collect various sensory data, and send the …
AI-based joint optimization of QoS and security for 6G energy harvesting Internet of Things
The data privacy and confidentiality in Internet-of-Things (IoT) networks have been one of
the most concerned problems due to increasing threats. The commonly utilized IoT chips …
the most concerned problems due to increasing threats. The commonly utilized IoT chips …
Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures
Smart cities and artificial intelligence (AI) are among the most popular discourses in urban
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …
Industrial IoT in 5G-and-beyond networks: Vision, architecture, and design trends
Cellular networks are envisioned to be a cornerstone in future industrial Internet of Things
(IIoT) wireless connectivity in terms of fulfilling the industrial-grade coverage, capacity …
(IIoT) wireless connectivity in terms of fulfilling the industrial-grade coverage, capacity …
Deep reinforcement learning based mobile edge computing for intelligent Internet of Things
R Zhao, X Wang, J Xia, L Fan - Physical Communication, 2020 - Elsevier
In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet
of things (IoT), where multiple users have some computational tasks assisted by multiple …
of things (IoT), where multiple users have some computational tasks assisted by multiple …