doi: 10.18178/ijfcc.2016.5.2.454
Study of Recognition Algorithm for Core Node in KAD Network Based on BP Model
- 1 Institute of Communication and Signal, CREEC, Chengdu 610031, China.
- 2 Institute of Science and Technology, CREEC, Chengdu 610031, China.
Abstract
In view of the core node recognition in the KAD(Kademlia), a model based on BP is presented to determinewhether a node is core node in real time. According to the resultof the measurement for KAD, some attribute characteristics ofcore nodes in the network have been extracted and normalizedto obtain an attribute set with higher separable degree. Analgorithm in MatLab is designed to train the BP network untilthe results are limited in a predetermined error range. Inaddition, the trained BP model is adopted to determine thetested nodes, and the results of the experiment show that themethod can judge degrees of importance of nodes in real time,and the recognition accuracy rate is up to about 70%.
Keywords
- Back-prorogation (BP)
- KAD network
- corenode
- recognition
How to 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. https://doi.org/ 10.18178/ijfcc.2016.5.2.454
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).