Performance Evaluation of Various Routing Algorithms Using Optimization Methods

摘要

Since nature displays a wide variety of diverse, constantly robust, sophisticated, and fascinating phenomena, it is an immense source of inspiration for addressing difficult and complex problems in computer science. Metaheuristics called "nature-inspired algorithms " solve optimization problems by mimicking nature, ushering in a new era of computing. This study implements a new agent-based routing algorithm that makes use of optimization techniques. The various optimization strategies utilized in the packet distribution between the networks include crow search, whale, butterfly, donkey, and flower pollination. The process of routing involves moving data through a network from source to destination. The simulation time of these algorithms affects their result. The NS2 programming system, which is built on the fundamentals of C, C++, and TCL scripting language acquisition, is used to implement the investigations. The results of the algorithm showed that the butterfly algorithm is much better than the other algorithms in packet delivery between the networks.