Comparison of AODV and Optimized AODV in Vehicular Ad hoc Networks
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Abstract
In this paper, the work is done to identify the need for QoS improvement in VANETs. In vehicular Ad-hoc Network (VANET) a restricted coverage of Wi-Fi and extremely mobile nodes creates the topology highly dynamic and frequently disconnecting. Subsequently, Quality of Service turn out to be an essential issue. Investigation related to work signifies that, an effective routing methodology plays a vital role to improve the QoS parameters. As in opportunistic routing path is not predefined so in normal schemes it leads to packet drop and reduces throughput to overcome these limitations in VANETs, AODV (Ad Hoc on Demand Vector) routing path is optimized by applying a Meta heuristic algorithm – Ant Colony Optimization (ACO). Opportunistic Network Environment (ONE simulator) has been used to carry out the experiment. To measure the performance we used various parameters, such as packet drop, overhead ratio, average latency and the throughput. To create the simulation more realistic a city map has been used in the simulator.
Keywords: VANET, ACO, AODV, ONE Simulator, Throughput, Overhead Ratio, Packet Drop, Average Latency
Keywords: VANET, ACO, AODV, ONE Simulator, Throughput, Overhead Ratio, Packet Drop, Average Latency
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