On Demand Bandwidth Reservation for Real-Time Traffic in Cellular IP Network Using Evolutionary Techniques

As real-time traffic requires more attention, it is given priority over non-real-time traffic in Cellular IP networks. Bandwidth reservation is often applied to serve such traffic in order to achieve better Quality of Service (QoS). Evolutionary Algorithms are quite useful in solving optimization problems of such nature. This paper employs Genetic Algorithm (GA) for bandwidth management in Cellular IP network. It compares the performance of the model with another model used for optimizing Connection Dropping Probability (CDP) using Particle Swarm Optimization (PSO).