Studying Network Problems and Its Performance Analysis Using Ant Colony Optimization Based Emulator Design

With the growing importance of telecommunication and the internet, more complex networked systems are being designed and established. It encounters vast complexity of networking problems such as load balancing, routing and congestion control and in order to get best from network, there is requisite to find the shortest and less congested path. The nature has a provision to cope up with these problems by using Ant Colony Optimization, which is inspired by social insects such as ants. Although an antis a simple individual, cooperatively a colony of ants can perform useM tasks such as finding the shortest path to a food source and sharing this information with other ants by depositing pheromone. On the computer, the behavior of real ants is modeled by artificial ants for finding the optimal path in network. This methodology is implemented as Ant Colony Optimization metaheuristic technique. The aim of my research work is to present a novel complete emulation model for calls routing and analyzingthe performance of telecommunication network using ACO technique. The emulation is developed in .Net using C#. Emulation results along ACO mode are compared with non-ACO mode using graphs.