Congestion management in MPLS network based on hybrid particle swarm algorithm

Author

Yusuf, Samar Taha

Source

al-Qadisiyah Journal for Computer Science and Mathematics

Issue

Vol. 13, Issue 1 (31 Mar. 2021), pp.109-115, 7 p.

Publisher

University of al-Qadisiyah College of computer Science and Information Technology

Publication Date

2021-03-31

Country of Publication

Iraq

No. of Pages

7

Main Subjects

Information Technology and Computer Science

Abstract EN

To minimize the network congestion problem, a multi-constraint optimization mathematical model is established and a hybrid particle swarm algorithm based on the Tabu search algorithm is proposed.

The algorithm integrates Tabu search into particle swarm algorithm, which can prevent the algorithm from falling into the local optimal solution, and gives a better initial individual for Tabu search, so it can speed up the algorithm convergence and improve the quality of the solution.

The simulation was done using Matlab and the results show that the optimization algorithm reduces the end-to-end delay and packet loss rate, thereby avoiding network congestion and optimizing the utilization of network resources.

American Psychological Association (APA)

Yusuf, Samar Taha. 2021. Congestion management in MPLS network based on hybrid particle swarm algorithm. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 13, no. 1, pp.109-115.
https://search.emarefa.net/detail/BIM-1266383

Modern Language Association (MLA)

Yusuf, Samar Taha. Congestion management in MPLS network based on hybrid particle swarm algorithm. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 13, no. 1 (2021), pp.109-115.
https://search.emarefa.net/detail/BIM-1266383

American Medical Association (AMA)

Yusuf, Samar Taha. Congestion management in MPLS network based on hybrid particle swarm algorithm. al-Qadisiyah Journal for Computer Science and Mathematics. 2021. Vol. 13, no. 1, pp.109-115.
https://search.emarefa.net/detail/BIM-1266383

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 114-115

Record ID

BIM-1266383