Analysis of Routing Algorithms based on the Natural Inspiration

Abstract

Nature is a great and immense source of inspiration for solving hard and complex problems in computer science since it exhibits extremely diverse dynamic robust complex and fascinating phenomenon Nature inspired algorithms are metaheuristics that mimics the nature for solving optimisation problems opening a new era in computation A new agent-based routing algorithm using optimisation techniques is implemented in this paper The different optimisation techniques are warty frog fish artificial ant ant ant lion grey wolf genetic algorithm GA 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 output of these algorithms is determined by the simulation time 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 grey wolf optimiser GWO is much better than the other algorithms in the packet delivery between the networks