Design of Metaheuristic Optimization for Cluster Based Reliable Critical Message Dissemination in Vehicular Adhoc Networks

Abstract

Safety applications in Vehicular Adhoc Networks (VANET) are based on the dissemination of critical messages (CLMs) to numerous vehicles with minimal latency and packet loss. But the avoidance of broadcast storms and dealing with large scale dissemination of EMs in urban VANETs, predominantly at intersections, are challenging issues. These issues can be resolved by the clustering approach which can create a hierarchical structure by the organization of the nodes. In this view, this paper designs a metaheuristic optimization algorithm for cluster based reliable critical message dissemination (MOC-RCMD) in VANET. The proposed MOC-RCMD technique aims to organize the clusters and select CHs proficiently. In addition, the MOC-RCMD technique encompasses a two-stage process namely Shark Optimization Algorithm based clustering (SOA-C) and Seagull Optimization based Routing for Data Dissemination (SGO-RDD). The SOA-C and SGO-RDD techniques derive a fitness function involving different input parameters related to VANET. The design of MOC-RCMD technique for cluster-based CM dissemination shows the novelty of the study. A wide range of simulations take place and the results demonstrated the betterment of the MOC-RCMD technique over the recent approaches.