A Network Intelligent Method Based on Cognition

Author

Ren Baoquan ; Yin Hao

Author_Institution

Commun. Command Inst., Wuhan, China

fYear

2011

fDate

16-18 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

Studying against the lower utilization of the resources, deficiency of recombination in current networks, this paper proposes Network cognition and its basic architecture to improve the service abilities. Based on data mining and intelligence information control, the key technologies such as situation awareness, learning strategies, and multi-objective optimization are mainly discussed in details, which aim at networks states, users´ characters, and electromagnetism environment. On the base of this, the related research works and performance testing of the nodes in network are also presented.

Keywords

cognition; data mining; electromagnetism; learning (artificial intelligence); optimisation; transport protocols; data mining; electromagnetism environment; intelligence information control; learning strategy; multiobjective optimization; network cognition; network intelligent method; network recombination deficiency; performance testing; resource utilization; service ability; situation awareness; Cognition; IP networks; Kalman filters; Neural networks; Nonlinear dynamical systems; Optimization; Spontaneous emission;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Technology and Applications (iTAP), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7253-6

Type

conf

DOI

10.1109/ITAP.2011.6006443

Filename

6006443