PSO and ACO Algorithms Applied to Optimization Resource Allocation to Support QoS Requirements in NGN

Abstract

Next Generation Network (NGN) is the backbone of the overall network architecture based on IP network, supporting different access network technologies. This integrated wireless system will have to handle diverse types of traffics, such as data, voice, and multimedia, etc. NGN will provide advanced services, such as Quality of Service (QoS) guarantees, to users and their applications. In this paper, I have studied a pricing scheme for next generation multiservice networks and formulated the optimal resource allocation in a network/service node, given the QoS requirements of each service class that the network element serves. The non-linear pricing model responds well to changes of the characteristics in the input traffic, pricing parameters and QoS requirements. Furthermore, I proposed two new Particle Swarm Optimization and Ant Colony Optimization algorithms to solve it. Numerical results show that my proposed algorithms are easy and efficient to any number of service classes.