作者
Muhammad Ibrar, Aamir Akbar, Syed Rooh Ullah Jan, Mian Ahmad Jan, Lei Wang, Houbing Song, Nadir Shah
发表日期
2020/12/25
期刊
IEEE Transactions on Network Science and Engineering
卷号
9
期号
1
页码范围
67-77
出版商
IEEE
简介
The convergence of Software-Defined Networking (SDN) and Internet of Vehicular (IoV) integrated with Fog Computing (FC), known as Software Defined Vehicular based FC (SDV-F), has recently been established to take advantage of both paradigms and efficiently control the wireless networks. SDV-F tackles numerous problems, such as scalability, load-balancing, energy consumption, and security. It lags, however, in providing a promising approach to enable ultra-reliable and delay-sensitive applications with high vehicle mobility over SDV-F. We propose ARTNet, an AI-based Vehicle-to-Everything (V2X) framework for resource distribution and optimized communication using the SDV-F architecture. ARTNet offers ultra-reliable and low-latency communications, particularly in highly dynamic environments, which is still a challenge in IoV. ARTNet is composed of intelligent agents/controllers, to make decisions …
引用总数
学术搜索中的文章
M Ibrar, A Akbar, SRU Jan, MA Jan, L Wang, H Song… - IEEE Transactions on Network Science and …, 2020