Deep learning based caching for self-driving cars in multi-access edge computing

A Ndikumana, NH Tran, KT Kim… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Without steering wheel and driver's seat, the self-driving cars will have new interior outlook
and spaces that can be used for enhanced infotainment services. For traveling people, self …

A real-time driving drowsiness detection algorithm with individual differences consideration

F You, X Li, Y Gong, H Wang, H Li - Ieee Access, 2019 - ieeexplore.ieee.org
The research work about driving drowsiness detection algorithm has great significance to
improve traffic safety. Presently, there are many fruits and literature about driving drowsiness …

Contract-based computing resource management via deep reinforcement learning in vehicular fog computing

J Zhao, M Kong, Q Li, X Sun - Ieee Access, 2019 - ieeexplore.ieee.org
Vehicle fog computing (VFC) is proposed as a solution that can significantly reduce the task
processing overload of base station during the peak time, where the vehicle as a fog node …

A task oriented computation offloading algorithm for intelligent vehicle network with mobile edge computing

J Liu, S Wang, J Wang, C Liu, Y Yan - IEEE Access, 2019 - ieeexplore.ieee.org
With the rise of intelligent and connected vehicles (ICVs), new vehicle applications continue
to emerge, while the computing capability of vehicles remains limited. Mobile edge …

Emergency warning messages dissemination in vehicular social networks: A trust based scheme

N Ullah, X Kong, Z Ning, A Tolba, M Alrashoud… - Vehicular …, 2020 - Elsevier
To ensure users' safety on the road, a plethora of dissemination schemes for Emergency
Warning Messages (EWMs) have been proposed in vehicular networks. However, the issue …

Green fog planning for optimal internet-of-thing task scheduling

Z He, Y Zhang, B Tak, L Peng - IEEE Access, 2019 - ieeexplore.ieee.org
The incoming 5G technology is expected to proliferate tremendous internet-of-thing (IoT)
services with real-time and mobility requirements, which are quite different from the legacy …

Discrimination and prediction of traffic congestion states of urban road network based on spatio-temporal correlation

Z Chen, Y Jiang, D Sun - IEEE Access, 2019 - ieeexplore.ieee.org
By analyzing and predicting the traffic states of urban road network, the formation of traffic
congestion can be effectively alleviated, so as to improve the traffic capacity of urban road …

Green internet of vehicles: Architecture, enabling technologies, and applications

H Chen, T Zhao, C Li, Y Guo - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of Internet of Vehicles (IoV) and the gradual maturity of 5th Generation
Mobile Networks (5G) technology, the further development of the IoV highly relies on …

An indoor temperature prediction framework based on hierarchical attention gated recurrent unit model for energy efficient buildings

J Song, G Xue, Y Ma, HAN Li, YU Pan, Z Hao - Ieee Access, 2019 - ieeexplore.ieee.org
Indoor temperature is an important criterion for evaluating the operation quality of district
heating systems (DHSs) and has a significant impact on improving the energy efficiency of …

Performance analysis of buffer-aided hybrid NOMA/OMA in cooperative uplink system

P Xu, J Quan, Z Yang, G Chen, Z Ding - IEEE Access, 2019 - ieeexplore.ieee.org
This paper investigates a cooperative uplink system where two users wish to send
messages to a base station with the help of a buffer-aided relay. Transmission modes in …