Deployment of IoV for smart cities: Applications, architecture, and challenges

LM Ang, KP Seng, GK Ijemaru, AM Zungeru - IEEE access, 2018 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a convergence of the mobile Internet and the Internet of
Things (IoT), where vehicles function as smart moving intelligent nodes or objects within the …

Social big-data-based content dissemination in internet of vehicles

Z Zhou, C Gao, C Xu, Y Zhang… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
By analogy with Internet of things, Internet of vehicles (IoV) that enables ubiquitous
information exchange and content sharing among vehicles with little or no human …

Intelligent resource management based on reinforcement learning for ultra-reliable and low-latency IoV communication networks

H Yang, X Xie, M Kadoch - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has attracted much interest recently due to its ubiquitous message
exchange and content sharing among smart vehicles with the development of the mobile …

Blockchain consensus based user access strategies in D2D networks for data-intensive applications

D Lin, Y Tang - IEEE Access, 2018 - ieeexplore.ieee.org
A device-to-device (D2D) underlying cellular network is pervasive to support various
wireless applications. However, due to the dramatic increase of data transmission in the …

On location privacy-preserving online double auction for electric vehicles in microgrids

D Li, Q Yang, D An, W Yu, X Yang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In this paper, we address the issue of demand response (DR) in microgrids via vehicle-to-
vehicle technology in the smart grid with consideration for location privacy protection …

[HTML][HTML] Health information exchange through a device-to-device protocol supporting lossless encoding and decoding

A Kiourtis, A Mavrogiorgou, D Kyriazis - Journal of Biomedical Informatics, 2022 - Elsevier
Despite the availability of secure electronic data transfers, most medical information is still
stored on paper, and it is usually shared by mail, fax or the patients themselves. Today's …

Mode Selection and Resource Allocation for D2D Communications with Tradeoff of Throughput and User Satisfaction

X Li, J Zhang, X Liu - IEEE Transactions on Communications, 2023 - ieeexplore.ieee.org
The Device-to-Device (D2D) communication underlaying cellular networks has advantages
of improving the spectral utilization and throughput. This paper studies mode selection and …

D2D power control based on supervised and unsupervised learning

Z Fan, X Gu, S Nie, M Chen - 2017 3rd IEEE International …, 2017 - ieeexplore.ieee.org
With the coming of the era “Big Data”, Machine Learning (ML) is one of the most significant
issues to draw people's attention. This paper is an attempt to conflate a machine learning …

Optimizing MEC networks for healthcare applications in 5G communications with the authenticity of users' priorities

D Lin, S Hu, Y Gao, Y Tang - Ieee Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is pervasive to support high-speed end-to-end data
transmission and computation for 5th generation (5G) mobile communications by offloading …

On delay-sensitive healthcare data analytics at the network edge based on deep learning

ZM Fadlullah, ASK Pathan… - 2018 14th International …, 2018 - ieeexplore.ieee.org
As the age of the Internet of Things (IoT) continues to flourish, the concept of smart
healthcare has taken an unprecedented turn due to interdisciplinary thrusts. To carry the big …