AI empowered communication systems for intelligent transportation systems

Z Lv, R Lou, AK Singh - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Intelligent control of traffic has significant influence on the scheduling efficiency of urban
traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the …

AI-enabled IoT-edge data analytics for connected living

Z Lv, L Qiao, S Verma, Kavita - ACM Transactions on Internet …, 2021 - dl.acm.org
As deep learning, virtual reality, and other technologies become mature, real-time data
processing applications running on intelligent terminals are emerging endlessly; meanwhile …

6G-enabled network in box for internet of connected vehicles

Z Lv, L Qiao, I You - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
Objective: To realize the full coverage, full spectrum, and full application, of 6G networks, the
channel measurement, channel characteristics, and channel research of the 6G-oriented full …

Deep reinforcement learning for computation offloading in mobile edge computing environment

M Chen, T Wang, S Zhang, A Liu - Computer Communications, 2021 - Elsevier
Recently, in order to distribute computing, networking resources, services, near terminals,
mobile fog is gradually becoming the mobile edge computing (MEC) paradigm. In a mobile …

Toward offloading internet of vehicles applications in 5G networks

S Wan, R Gu, T Umer, K Salah… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The demand for real-time communication and high performance of the Internet of Vehicles
(IoV) system has caused researches to investigate new techniques in edge computing (EC) …

Container placement and migration in edge computing: Concept and scheduling models

O Oleghe - IEEE Access, 2021 - ieeexplore.ieee.org
Containers are a form of software virtualization, rapidly becoming the de facto way of
providing edge computing services. Research on container-based edge computing is …

An overview of user-oriented computation offloading in mobile edge computing

J Zhang, X Zhao - 2020 IEEE World Congress on Services …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) can provide the user with computation resources close to
the user. In order to cope with stringent requirements of applications on latency and reduce …

Privacy protection based on stream cipher for spatiotemporal data in IoT

T Liu, Y Wang, Y Li, X Tong, L Qi… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In the participatory sensing framework, privacy protection of the Internet of Things (IoT) is
very important. In this article, cryptography-based methods are utilized to protect participants' …

Joint optimization of delay and cost for microservice composition in mobile edge computing

F Guo, B Tang, M Tang - World Wide Web, 2022 - Springer
With the development of software technology, some complex mobile and Internet-of-Things
(IoT) applications can be constituted by a set of microservices. At present, mobile edge …

Fault-tolerant scheduling and data placement for scientific workflow processing in geo-distributed clouds

C Li, J Liu, M Wang, Y Luo - Journal of Systems and Software, 2022 - Elsevier
Scientific workflow processing in geo-distributed cloud is crucial for the scheduling of large-
scale tasks and the massive data placement among tasks. However, the task execution time …