A Survey on Neural Network for Vehicular Communication

Kamlesh Gautam; V. K. Jain; S. S. Verma

A Survey on Neural Network for Vehicular Communication

Kamlesh Gautam ¹, V. K. Jain ², S. S. Verma ³

Affiliations
1 Department of Electronics and Communication Engineering, SET, Mody University of Science and Technology, Lakshmangarh, Sikar, Rajasthan, India
2 SET, Mody University of Science and Technology, Lakshmangarh, Sikar, Rajasthan, India
3 Department of Computer Science Engineering, School of Computing & Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

The Vehicular Communication (VC) is currently capable to provide communication between numbers of vehicles and also becoming capable to provide communication between Vehicles and Internet of Things Devices (IoT Devices) with intelligence. In this frame of reference, this paper presents a survey that how Neural Network Algorithms can help for Vehicular Communication. So, this paper firstly provides description of categories of Neural Networks with basic architecture and examples, those are important in VC. Then VC problems are discussed regarding Neural Network. Also, applications and challenges are discussed followed by necessary examples with future scope. This article provides fundamental inspiration for new researchers regarding improvement of Neural Network VC.