Cooperative multi-agent vehicle-to-vehicle wireless network in a noisy environment

被引：2

作者：

Mansour A.M. ^{[1
]}

机构：

[1] Communication, Electronics and Computer Engineering Department, Tafila Technical University ‘Is, Tafila

来源：

International Journal of Circuits, Systems and Signal Processing | 2021年 / 15卷

关键词：

Decision System; Multi-Agent System; NARX; Noisy Environment; Vehicle-to-Vehicle Communication;

D O I：

10.46300/9106.2021.15.15

中图分类号：

学科分类号：

摘要：

With the rapid development of vehicle communication and the goal of self-driving vehicle, research in this area is still ongoing, as car companies aspire for more studies and effective communication methods between vehicles. In this research, we have developed an intelligent, innovative and fully integrated multi agent model, which is used for vehicle-to-vehicle communications. The developed model is supported by an intelligent system based on a Nonlinear External Neural Network (NARX) and signal estimation theory. The system is built using real vehicles sensors, Arduino, GSM and RF technologies. The system is tested by applying different scenarios and observing vehicle behaviors. The results show that the smart system is able to make the appropriate decision based on both the vehicle's current condition and sensor readings. The developed system is able to operate effectively in a noisy environment in an excellent manner. © 2021, North Atlantic University Union NAUN. All rights reserved.

引用

页码：135 / 148

页数：13

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