“Swarm Intelligence Based Route Determination in MANET using DSR algorithm

Abstract

A MANET is a type of ad hoc network that can change location and configure itself on the fly. Because MANETS are mobile, they use wireless connection to interact with various networks. Routing is the process of selecting best path in a network. In this paper we propound a algorithm to detect the misbehaving of nodes within the MANET and also to establish optimal path between a pair of nodes. Dynamic Source Routing (DSR) protocol in ad hoc networks, which forms a route upon the request from the transmitting node. It relies on source routing rather than relying on routing table which adds to its felicity. For the better performance of the proposed algorithm we employ Ant Optimization & Genetic algorithm. Swarm Intelligence is the collective behavior of decentralized, self organized systems, natural or artificial which helps to provide best solutions to solve routing issues. Genetic algorithms (GA) are meant to design computational structures and solve combinatorial optimization problem . In order to doubly ensure the maximum optimality of the routes found via GA, ACO (Ant Colony Optimization) has been implemented.