Multi-Objective Clustering Methodologies and its Applications in VANET

Vehicular ad-hoc network is the novel and powerful network which provides wireless communication between the vehicles within the network. VANET are networks with high dynamic topology and their communication is vulnerable to attacks where the attackers can send spurious information to deceive the other vehicles. Nodes in VANET should be confident with the information that is shared between them. This communication between the networks can be made more efficient by the formation of clusters in the networks. The cluster formation helps in free flow the data between the nodes. In this paper, we have discussed about the different techniques used for cluster formation. Clustering serves as a solution to scalability helps in load balancing and resource consumption in huge networks. Randomized algorithms used in clustering helps simultaneous data transmission and synchronization between the clusters. Clustering using content-centric approach helps in collective sensing, processing and distribution of information in the network traffic by adapting the volume effect. Clustering techniques also help in maintaining the integrity, non-repudiation and confidentiality of data between the nodes in the network.