Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management

Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management

In this paper, Deep Neural Networks (DNN) with Bat Algorithms (BA) offer a dynamic form of traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles across highly congested paths to enhance efficiency, with a lower average latency. The latter is combined with the Int...

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Bibliographic Details
Main Authors: Srihari Kannan, Gaurav Dhiman, Yuvaraj Natarajan, Ashutosh Sharma, Sachi Nandan Mohanty, Mukesh Soni, Udayakumar Easwaran, Hamidreza Ghorbani, Alia Asheralieva, Mehdi Gheisari
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
deep neural network
VANETs
routing
IoT agents
Online Access:https://www.mdpi.com/2079-9292/10/7/785

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https://www.mdpi.com/2079-9292/10/7/785

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