1Assistant Professor, Department of Computer Science, Bharathidasan College of Arts and Science, Ellispettai, Erode-16
2Assistant Professor, Department of Information Technology, K.S. Rangasamy College of Technology, K.S.R. Kalvi Nagar, Thiruchengode, Namakkal
*Corresponding author email id: Fathi.fathimahussain@gmail.com
A new agent-based routing algorithm using optimization techniques is discussed in this paper. The different optimization techniques are Ant, Bee, Ant Bee, Ant GA, Ant PSO,GA, PSO, Pillar, Simulated Annealing, Ant Pillar, Bee Pillar, GA PSO, GA Pillar, GA-SA,PSO Pillar, PSO SA, Bee PSO, Bee GA, Bee SA are the combinations used in the packet delivery between the networks. The routing is a process of carrying the data from source to destination in the network. The outputs of these algorithms are determined by the simulation time and throughput. The experiments are implemented with the NS2 software platform, which is based on the basics of C, C++, and TCL Scripting Language. The results of the algorithm showed that the GA-PSO is much better than the other algorithms in the packet delivery between the networks.
Network, Routing, Optimization, Ant and Bee, Genetic Algorithm, Particle Swarm Optimization