DYNAMIC SHORTEST PATH ANALYSIS OF ROUTING TECHNIQUE VIA GENETIC ALGORITHM

المؤلفون

  • Nyan Dawood Salman Software & Informatics Engineering Department, Salahaddin University, Erbil, Iraq مؤلف
  • Hanan Kamal AbdulKarim Software & Informatics Engineering Department, Salahaddin University, Erbil, Iraq مؤلف

الكلمات المفتاحية:

optimization، routing، routing metrics، OSPF، genetic algorithm

الملخص

The performance and reliability of the internet depend in large part on properties of routing techniques. IP routing protocols nowadays compute paths based on the network configuration parameters and topology, missing view to the current traffic load on the routers and links. This paper discusses routing optimization using Genetic Algorithm (GA) then studies and analyzes the problems in order to increase routing performance in median networks. A genetic algorithm will be proposed in a detail to advise the performance of Open Shortest Path First (OSPF) routing Protocol. The simulated results show that the probability of convergence to shortest path has been superior via momentary using GA in OSPF protocol.

التنزيلات

Key Dates

منشور

2018-07-01

إصدار

مجلد 22 عدد 4 (2018): Journal of Engineering and Sustainable Development

القسم

Articles

الرخصة

Creative Commons License

هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.

The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY)

كيفية الاقتباس

DYNAMIC SHORTEST PATH ANALYSIS OF ROUTING TECHNIQUE VIA GENETIC ALGORITHM. (2018). مجلة الهندسة والتنمية المستدامة, 22(4), 15-24. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/422

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