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A Survey on Neural Network for Vehicular Communication

Mody University International Journal of Computing and Engineering Research

Volume 3 Issue 2

Published: 2019
Author(s) Name: Kamlesh Gautam, V. K. Jain and S. S. Verma | Author(s) Affiliation: Dept. of Electronics and Communication Engg., SET, Mody Univ. of Science and Tech., Rajasthan, India
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Abstract

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.

Keywords: ANN, DNN, ESN, IoT, LSTM, ML, NN, RNN, SNN, VC.

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