Performance Analysis of Ant Colony based Routing Approach for VANETs using VanetMobiSim and NS2

Abstract

Vehicular networks are a class of wireless networks built dynamically in an ad hoc network manner. Routing mechanism is an important component for the success of any vehicular applications. The routing mechanism in vehicular networks is critical because of VANET constraints such as unpredictable network topology, frequent disconnections, varying network densities, etc. Bio-inspired algorithms are the part of the natural computations. These algorithms are basically inspired by the insects like bee, ants, fish etc. by nature. Ant Colony Optimization (ACO) technique has proved as a good technique for developing routing algorithms in ad hoc networks. In this paper, we have applied the ACO technique for routing in car to car and car to road side communication infrastructure under VANET constraints. Performance parameters analyzed are packet delivery ratio, throughput, End-to-End delay, and Control Overheads. The comparison analysis is done using network simulators NS-2 and VanetMobiSim to generate realistic vehicular traffic of a particular area i.e., Bagalkot city, Karnataka state of India.