An Application of Genetic Algorithm in Mobile IPv4 for Packet Loss Optimization

Internet technology is widespread throughout the world, offering access to varieties of information and resource. Traditionally, however, the service is only available when people settle down in their offices, homes or any other authorized areas, typically by plugging a physical jack into a wall. Although the development of wireless communication technologies has made wireless Internet access possible. Mobile IP was proposed by the IETF (Internet Engineering Task Force) in order to offer mobile users a seamless computing environment. Mobile IP was developed to enable computers to maintain Internet connectivity while moving from one Internet attachment point to another. However, before Mobile IP can be widely deployed, there are still many technical obstacles, including handover performance, routing efficiency and security issues. In Mobile IP network loses of information during handover cannot be avoided Therefore, Optimization of packet loses in wireless network design are necessary in order to improve the overall IP mobility performance. In this paper we optimized the performance of system using Genetic Algorithm (GA) in order to improve the overall IP mobility performance. GA is a stochastic process, which attempts to find an optimal solution for a problem by using methods that are based on Mendel's genetic inheritance concept and Darwin's theory of evolution and survival of the fittest. To develop the best solution candidate (or chromosome), the GA utilizes the genetic operators such as selection, crossover, and mutation for manipulating the chromosomes in a population. Simulation of GA for packet loss optimization has been performed using MATLAB software.