DocumentCode :
3181662
Title :
Application of genetic algorithm on quality graded networks for intelligent routing
Author :
Nair, T. R Gopalakrishnan ; Sooda, Kavitha
Author_Institution :
Adv. Networking Res. Group, Dayananda Sagar Instn., Bangalore, India
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
558
Lastpage :
563
Abstract :
In the past decade, significant research has been carried out for realizing intelligent network routing using advertisement, position and near-optimum node selection schemes. In this paper, a grade-based two-level node selection method along with genetic algorithm (GA) is proposed for realizing an efficient routing scheme. This method assumes that the nodes are intelligent and that there exists a knowledge base about the environment in their local memory. There are two levels for approaching the effective route selection process through grading. At the first level, grade-based selection is applied and at the second level, the optimum path is explored using GA. The simulation has been carried out on different topological structures, and a significant reduction in time is achieved for determining the optimal path through this method compared to the non-graded networks.
Keywords :
cognitive systems; genetic algorithms; knowledge based systems; quality of service; telecommunication network routing; telecommunication network topology; genetic algorithm; grade-based two-level node selection method; intelligent network routing; intelligent nodes; knowledge base; optimal path determination; optimum path exploration; quality graded network; route selection process; topological structure; Availability; Bandwidth; Biological cells; Delay; Genetic algorithms; Network topology; Routing; Genetic algorithm; Graded network; Intelligent routing; Level-1 and Level-2 operation and Knowledge base;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (WICT), 2011 World Congress on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4673-0127-5
Type :
conf
DOI :
10.1109/WICT.2011.6141306
Filename :
6141306
Link To Document :
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