Optimized Fault Tolerant Routing In Convergent Network: A Genetic Algorithm Approach

Abstract

Now a days to identify the optimal path in a computer network is one of the complex task, that to in a
Convergent Network it become more complex because optimization depends upon number of quality of service (QoS)
parameters. Especially to transfer variety of data in critical application is one of the big task that to if there occurs
fault like link failure while transferring data it become more complicated. So a fault tolerant routing is gaining more
importance so that the data can be transferred even in the presence of fault. To overcome this issue proposed method
is Genetic Algorithm (GA) which will find the optimal route and transfer the data in a single network. GA starts
initially with number of solutions where each solution is represented in the form of chromosomes. The success of GA
depends upon the selection, crossover and mutation operators. The performance is measured by a fitness function that
includes various QoS parameters such as delay, jitter and transmission success rate.