Reducing Route discovery latency in MANETs using ACO

Abstract

Mobile Ad-hoc Networks (MANETs) have Routing as a censorious challenge. The substantial issue in ad-hoc network is seeking out a shortest path among communicating nodes. The contemplations in MANET framework and the constitution of the mobile nodes create inconveniences that bring the necessity to evolve special routing techniques to eliminate such issues. Swarm intelligence is a bio-propelled technique that is really resilient to alternative issue space. The activities of individual ants in ant colonies are not administered by any centralized infrastructure. The robust self-organizing nature of ant colony is because of interacting behaviour among neighbour ants and dynamics of individuals. This novel feature has made ant societies an inspiring model for developing new algorithms for routing in MANET frameworks. In this paper, Ant Colony based routing algorithms and its variations have been examined and evaluated. Here the delivery ratio of packets and end to end delivery has been especially taken as the performance factor for MANETs. The fundamental thought of this paper is to use Ant Colony Optimization (ACO) in MANET protocol Ad-hoc On Demand Vector (AODV) to optimize its performance by reducing Route discovery latency.