Enhanced QoS Performance with Reduced Route Overhead by Ant Colony Optimization Algorithm for VANET

The relevancy of VANET has increased enormously in the last decade. This field of intelligent transport system has to deal with dynamic vehicular traffic with high mobility that makes multi-hop communication links more vulnerable and unreliable. To encounter the matters like delay, packet dropping, this research work proposes a novel routing algorithm named as Reduced Routing Overhead using Ant Colony Optimization (RRO-ACO) with ACK packet broadcasting. Using Ant Colony Optimization (ACO) vehicular nodes can forward packet in more educated manner and use of ACK packets reduce redundant packet transmission. Traffic simulator SUMO and network simulator NS 2.34 are used to compare proposed algorithm with existing (Route DiscoveryACO) RDACO and RAGR (Road Aware Geographical Routing). Results show that proposed method (RROACO) outperforms the existing algorithms in terms of the Qos parameters like throughput, packet delivery ratio and network latency.