Improving the Performance of Routing Protocol using Genetic Algorithm | Zendy

Meenakshi Moza | Zendy; Suresh Kumar | Zendy

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Improving the Performance of Routing Protocol using Genetic Algorithm

Author(s) -

Meenakshi Moza,

Suresh Kumar

Publication year - 2016

Publication title -

international journal of computer network and information security

Language(s) - English

Resource type - Journals

eISSN - 2074-9104

pISSN - 2074-9090

DOI - 10.5815/ijcnis.2016.07.02

Subject(s) - computer science , crossover , path vector protocol , path (computing) , routing protocol , link state routing protocol , computer network , distributed computing , private network to network interface , genetic algorithm , reliability (semiconductor) , node (physics) , distance vector routing protocol , static routing , equal cost multi path routing , routing (electronic design automation) , selection (genetic algorithm) , computation , algorithm , artificial intelligence , machine learning , power (physics) , physics , structural engineering , quantum mechanics , engineering

Internet reliability and performance is based mostly on the underlying routing protocols. The current traffic load has to be taken into account for computation of paths in routing protocols. Addressing the selection of path, from a known source to destination is the basic aim of this paper. Making use of multipoint crossover and mutation is done for optimum and when required alternate path determination. Network scenario which consists of nodes that are fixed and limited to the known size of topology, comprises the population size. This paper proposes a simple method of calculating the shortest path for a network using Genetic Algorithm (GA), which is capable of giving an efficient, dynamic and consistent solution in spite of, what topology, changes in link and node happen and volume of the network. GA is used in this paper for optimization of routing. It helps us in enhancing the performance of the routers.

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