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

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.

[1]  Chi-Jie Lu,et al.  Applying Classification Problems via a Data Mining Approach Based on a Cerebellar Model Articulation Controller , 2009, 2009 First Asian Conference on Intelligent Information and Database Systems.

[2]  Frank L. Lewis,et al.  Optimal design of CMAC neural-network controller for robot manipulators , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[3]  Amir Masoud Rahmani,et al.  High-Reliability Multicast with New CMAC-Based Local Recovery Approach in Wireless Mesh Networks , 2009, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.

[4]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[6]  Jonathan Lawry,et al.  A linguistic CMAC equivalent to a Linguistic Decision Tree for classification , 2009, 2009 International Joint Conference on Neural Networks.

[7]  James S. Albus,et al.  New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)1 , 1975 .

[8]  Jianjun Yang,et al.  Dynamic routing algorithm with load balance and time delay based on genetic algorithm , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[9]  Shyhtsun Felix Wu,et al.  Real-time protocol analysis for detecting link-state routing protocol attacks , 2001, TSEC.

[10]  Wenhui Zhao,et al.  Distributed Neural Network Routing Algorithm Based on Global Information of Wireless Sensor Network , 2009, 2009 WRI International Conference on Communications and Mobile Computing.

[11]  Xuedong Liang,et al.  A multi-agent reinforcement learning based routing protocol for wireless sensor networks , 2008, 2008 IEEE International Symposium on Wireless Communication Systems.

[12]  Amir Masoud Rahmani,et al.  A Classifier-CMAC Neural Network Model for Web Mining , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[13]  Chaozhen Hou,et al.  The study of application of FCMAC neural network in the industrial process on-line identification and optimization , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

[14]  Eng Chong Tan,et al.  CMAC spectral subtraction for speech enhancement , 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).