Multi-constraint Multipath QoS Routing Using Swarm Intelligence

It is essential for a network to support guaranteed quality-of-service (QoS) for some applications on Internet. Robustness of the network plays an important role to achieve the basic QoS requirements to support real-time applications. Though it has been achieved through various single path routing mechanisms but to provide the robustness and availability to the network, multiple paths have to be selected. A route is selected based on various metrics. Using soft computing techniques capability of deriving multiple paths through a single run can be enabled. In this paper an implementation of particle swarm optimization (PSO), based routing algorithm to get multiple paths satisfying various constraints of QoS parameters is shown. The results are compared with other soft computing techniques like genetic algorithm and ant colony optimization (ACO).