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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 
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 2016 Vol.5(2): 108-111 ISSN: 2010-3751
doi: 10.18178/ijfcc.2016.5.2.454

Study of Recognition Algorithm for Core Node in KAD Network Based on BP Model

Li Qiang, Tang Bo, and Yang Jie
Abstract—In view of the core node recognition in the KAD (Kademlia), a model based on BP is presented to determine whether a node is core node in real time. According to the result of the measurement for KAD, some attribute characteristics of core nodes in the network have been extracted and normalized to obtain an attribute set with higher separable degree. An algorithm in MatLab is designed to train the BP network until the results are limited in a predetermined error range. In addition, the trained BP model is adopted to determine the tested nodes, and the results of the experiment show that the method can judge degrees of importance of nodes in real time, and the recognition accuracy rate is up to about 70%.

Index Terms—Back-prorogation (BP), KAD network, core node, recognition.

Li Qiang and Tang Bo are the Institute of Communication and Signal, CREEC, Chengdu 610031, China.
Yang Jie is with the Institute of Science and Technology, CREEC, Chengdu 610031, China.


Cite: Li Qiang, Tang Bo, and Yang Jie, "Study of Recognition Algorithm for Core Node in KAD Network Based on BP Model," International Journal of Future Computer and Communication vol. 5, no. 2, pp. 108-111, 2016.

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