Towards Artificial Intelligence Assisted Software Defined Networking for Internet of Vehicles

2021 ◽  
pp. 191-222
Author(s):  
Sachin Sharma
Keyword(s):  
Artificial Intelligence ◽  
Software Defined Networking ◽  
Internet Of Vehicles

scholarly journals oneVFC—A Vehicular Fog Computation Platform for Artificial Intelligence in Internet of Vehicles

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 117456-117470
Author(s):  
Kieu-Ha Phung ◽  
Hieu Tran ◽  
Thang Nguyen ◽  
Hung V. Dao ◽  
Vinh Tran-Quang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Vehicles

scholarly journals Artificial Intelligence Based Clustering with Routing Protocol for Internet of Vehicles

2022 ◽  
Vol 70 (3) ◽  
pp. 5835-5853
Author(s):  
Manar Ahmed Hamza ◽  
Haya Mesfer Alshahrani ◽  
Fahd N. Al-Wesabi ◽  
Mesfer Al Duhayyim ◽  
Anwer Mustafa Hilal ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Routing Protocol ◽  
Internet Of Vehicles

Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles

2021 ◽  
pp. 1-6
Author(s):  
Tejasvi Alladi ◽  
Varun Kohli ◽  
Vinay Chamola ◽  
F. Richard Yu ◽  
Mohsen Guizani
Keyword(s):  
Artificial Intelligence ◽  
Intrusion Detection ◽  
The Internet ◽  
Internet Of Vehicles

scholarly journals Artificial Intelligence Enabled Routing in Software Defined Networking

2020 ◽  
Vol 10 (18) ◽  
pp. 6564 ◽  
Author(s):  
Yan-Jing Wu ◽  
Po-Chun Hwang ◽  
Wen-Shyang Hwang ◽  
Ming-Hua Cheng
Keyword(s):  
Artificial Intelligence ◽  
Performance Metrics ◽  
Packet Delay ◽  
Software Defined Networking ◽  
Dynamic Routing ◽  
Learning Ability ◽  
Control Plane ◽  
Monitoring Period ◽  
Data Plane ◽  
The Impact

Software defined networking (SDN) is an emerging networking architecture that separates the control plane from the data plane and moves network management to a central point, called the controller. The controller is responsible for preparing the flow tables of each switch in the data plane. Although dynamic routing can perform rerouting in case of congestion by periodically monitoring the status of each data flow, problems concerning a suitable monitoring period duration and lack of learning ability from past experiences to avoid similar but ineffective route decisions remain unsolved. This paper presents an artificial intelligence enabled routing (AIER) mechanism with congestion avoidance in SDN, which can not only alleviate the impact of monitoring periods with dynamic routing, but also provide learning ability and superior route decisions by introducing artificial intelligence (AI) technology. We evaluate the performance of the proposed AIER mechanism on the Mininet simulator by installing three additional modules, namely, topology discovery, monitoring period, and an artificial neural network, in the control plane. The effectiveness and superiority of our proposed AIER mechanism are demonstrated by performance metrics, including average throughput, packet loss ratio, and packet delay versus data rate for different monitoring periods in the system.

scholarly journals Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles

2019 ◽  
Vol 26 (3) ◽  
pp. 12-18 ◽  
Author(s):  
Yueyue Dai ◽  
Du Xu ◽  
Sabita Maharjan ◽  
Guanhua Qiao ◽  
Yan Zhang
Keyword(s):  
Artificial Intelligence ◽  
Edge Computing ◽  
Internet Of Vehicles

scholarly journals 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE 2021)

Proceedings ◽  
2021 ◽  
Vol 72 (1) ◽  
pp. 2
Author(s):  
Haoxuan Yu ◽  
Shuai Li
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Urban Transport ◽  
Research Progress ◽  
Practical Application ◽  
Internet Of Vehicles ◽  
International Conference ◽  
National University ◽  
Internet Of Things Technology

On 27 March 2021, the 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE 2021) was officially held in Nanchang, China. The Conference invited the IEEE Fellow Professor Guo Yong-xin from the National University of Singapore and the IET Fellow Professor Gao Liang from Huazhong University of Science and Technology of China, as well as other experts, to make the special speeches. The conference focused on the practical application of big data, the development of artificial intelligence and the innovation of Internet of things technology, and the conference provided a platform for academic exchanges among experts and, the experts present reported their own research progress and made prospects for the future development of big data such as application of big data in enterprise decision making, artificial intelligence such as intelligent endoscope in medicine, Internet of Things such as the Internet of Vehicles in urban transport.

Sign in / Sign up

Export Citation Format

Share Document