Exploration of Swarm Optimization and Its Impact in QoS under Wireless Mobile Communication

Abstract- A Mobile ad hoc network (MANET) is a collection of wireless mobile nodes which dynamically join the network and cooperate with each other for multi-hop communication in absence of infrastructure or centralized administration. Due to dynamic behavior multi constraint QoS routing is the problems of ad hoc network. One of the popular studies for routing in the network in recent year is the swarm intelligence which imitates the collective behavior of biological species to solve routing problem in the network. Swarm Intelligence (SI) based techniques such as Ant Colony Optimization (ACO) algorithms have shown to be a good technique for developing routing algorithms for ad hoc networks. Ant based routing algorithms are based on the foraging behavior of ants. In this paper we proposed a new SI based multipath Routing. The multipath AOMDV is able to provide multiple bath but if the QoS improvement is possible in AOMDV through SI techniques. The route selection is done on the basis of pheromones values and due to that the possibilities of paths are also enhanced. The fitness function is used to local route repair. The main good feature of proposed routing is to also consider the PDR values on the established paths by that the link reliability is also enhanced. The performance of AOMDV and AOMDV with SI is evaluated on the basis of performance metrics and SI based AOMDV routing is showing the better performance in network