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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(5): 413-417 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.196

A Novel PSO Based Algorithm Approach for the cMTS to Improve QoS in Next Generation Networks

Gia Nhu Nguyen, Dac-Nhuong Le, Nguyen Dang Le, and Vinh Trong Le
Abstract—In this paper, we propose an effective Particle Swarm Optimization (PSO) algorithm to solving the capacitated minimum spanning tree (cMTS) problem to improve Quality of Service (QoS) in Next Generation Network (NGN). To improving QoS of communication network with considering the network provisioning capability and dynamic environment, we formulate this problem with minimizing the communication cost (as a kind of performance measures for network’s QoS). We calculate the fitness value of each scheme and update them step by step with the best method to quickly find good approximate solutions of cMST problems. Numerical experiments show that our algorithm proposed have achieved much better than recent researches.

Index Terms—Capacitated minimum spanning tree, communication network, quality of service, next generation network, particle swarm optimization.

Gia Nhu Nguyen is with Duy Tan University, Danang, Vietnam (e-mail: Nguyengianhu@duytan.edu.vn).
Dac-Nhuong Le is with Faculty of Information Technology, Haiphong University, Vietnam (e-mail: Nhuongld@ hus.edu.vn).
Nguyen Dang Le is with Faculty of Trainning, Haiphong University, Vietnam (e-mail: Nguyenld@ hus.edu.vn).
Vinh Trong Le is with Faculty of Mathematics, Mechanics and Informatics, Hanoi University of Science, Vietnam National University (e-mail: Vinhlt@vnu.edu.vn).

[PDF]

Cite: Gia Nhu Nguyen, Dac-Nhuong Le, Nguyen Dang Le, and Vinh Trong Le, "A Novel PSO Based Algorithm Approach for the cMTS to Improve QoS in Next Generation Networks," International Journal of Future Computer and Communication vol. 2, no. 5, pp. 413-417, 2013.

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