Open Access

ARTICLE

Intelligent Vehicular Communication Using Vulnerability Scoring Based Routing Protocol

by M. Ramya Devi^*, I. Jasmine Selvakumari Jeya

Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641050, India

* Corresponding Author: M. Ramya Devi. Email:

Intelligent Automation & Soft Computing 2023, 35(1), 31-45. https://doi.org/10.32604/iasc.2023.026152

Received 16 December 2021; Accepted 16 February 2022; Issue published 06 June 2022

Abstract

Internet of Vehicles (IoV) is an intelligent vehicular technology that allows vehicles to communicate with each other via internet. Communications and the Internet of Things (IoT) enable cutting-edge technologies including such self-driving cars. In the existing systems, there is a maximum communication delay while transmitting the messages. The proposed system uses hybrid Co-operative, Vehicular Communication Management Framework called CAMINO (CA). Further it uses, energy efficient fast message routing protocol with Common Vulnerability Scoring System (CVSS) methodology for improving the communication delay, throughput. It improves security while transmitting the messages through networks. In this research, we present a unique intelligent vehicular infrastructure communication management framework. This framework includes additional stability for both short and long-range mobile communications. It also includes built-in cooperative intelligent transport system (C-ITS) capabilities for experimental verification in real-world contexts. In addition, an energy efficient-fast message distribution routing protocol (EE-FMDRP) has been presented. This combines the benefits between both temporal and direction oriented routing methods. This has been suggested for distributing information from the origin ends to the predetermined objective in a quick, accurate, and effective manner in the event of an emergency. The critical value scale score(CVSS) employ ratings to measure the assault probability in Markov chains. Probabilities of chained transitions allow us to statistically evaluate the integrity of a group of IoV assets. Thus the proposed method helps to enhance the vehicular systems. The CAMINO with energy efficient fast protocol using CVSS (CA- EEFP-CVSS) method outperforms in terms of shortest transmission latency achieves 2.6 sec, highest throughput 11.6%, and lowest energy usage 17% and PDR 95.78%.

---

Keywords

---