Congestion management in MPLS network based on hybrid particle swarm algorithm
Author
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