Volume - 1 | Issue - 2 | december 2019
DOI
10.36548/jscp.2019.2.004
Published
December, 2019
The vehicular network that scopes to reach the internet access to make use of the available service on road along with the improvement in the safety and convenience while travelling has become a very popular area of research as they lay as the foundation for the intelligent transportation system. But due to the high mobility of the vehicles the network topology remains dynamic and the connectivity between the vehicles keep on changing reducing the life expectancy of the links and failures in the delivery of the services. So this paves way for the entailment of the more effective routing protocol that would heighten the vehicular network quality of service. The proposed method in the paper puts forth the modified Ant colony optimization that integrates the clustering technique to frame optimal shortest route for the internet access in the vehicular network to manage its mobility and the topology changes. The process of optimal route selection taking into consideration the mobility and the dynamic topology is evaluated using the network simulator tool to prove the capabilities of the proposed method on the grounds of bandwidth utilization throughput delay and link life expectancy.
KeywordsVehicular Network Soft Computing Evolutionary Algorithm Ant Colony Optimization Clustering Quality of Service