Comparison of Different Clustering Algorithms to Secured VANETs Communication

Autor: Prashant Kumar Shrivastava, L. K. Vishwamitra
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :59-75
ISSN: 2456-3307
DOI: 10.32628/cseit217613
Popis: ITS (Intelligent Transportation Systems) are growing increasingly popular because of the necessity for superior cyber-physical systems and comfort applications and services required for usage in autonomous vehicles. There are two types of Vehicular Ad-Hoc Networks (VANETs) that are vital to ITS: V2I (Vehicle-to-Infrastructure) and V2V (Vehicle-to-Vehicle). VANETs are a new technology with several potential uses in the ITS. It comprises smart vehicles and roadside equipment that connect over open-access wireless networks. An attacker may disrupt vehicular communication which can lead to potentially life-threatening scenarios because of the significant expansion in the number of vehicles in use today. VANETs must use robust security and authentication procedures to provide safe vehicular communication. This paper provides a comprehensive analysis ofthe VANET system including its characteristics and challenges. There is a concept of data dissemination that has been provided in brief. Clustering is the most important topic in VANET that is used to cluster the vehicles to secure and safely message transmission over the network. There is a taxonomy of clustering techniques has provided in a detailed manner. Besides, it has also shown the comparison of different clustering parameters-based mechanisms and MAC protocols in VANET.
Databáze: OpenAIRE