A new intelligent link state routing algorithm based on Credit Base-CMAC neural network

Author

Dehghan, Somaiyeh ; Rahmani, Amir Masoud

Author_Institution

Dept. of Comput. Eng., Islamic Azad Univ., Ilkhchi, Iran

fYear

2010

fDate

11-14 Nov. 2010

Firstpage

1109

Lastpage

1112

Abstract

Link state algorithm is a complex routing protocol that shares information with other routers in order to determine the best path. Link state protocols use characteristics of the route such as speed and cost as well as current congestion to determine the best path, which is typically computed by the Dijkstra algorithm, that it has high time complexity. In the present paper a new intelligent Link State routing algorithm based on Credit Base-CMAC (CB-CMAC) neural network is proposed. The new model determines best path by using delay and load parameters. The simulation results reveal that the proposed algorithm performs better than the AODV algorithm.

Keywords

cerebellar model arithmetic computers; routing protocols; telecommunication computing; telecommunication congestion control; Dijkstra algorithm; cerebellar model arithmetic computer; complex routing protocol; credit base-CMAC neural network; current congestion; delay parameter; intelligent link state routing; load parameter; Load modeling; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology (ICCT), 2010 12th IEEE International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-6868-3

Type

conf

DOI

10.1109/ICCT.2010.5688620

Filename

5688620