International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press
OPEN ACCESS
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IJCTE 2010 Vol.2(1): 111-114 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.124

Dynamic Route Selection: An Artificial Intelligence Based Approach

P. Chakrabarti

Abstract—In this paper we have pointed out new trends for efficient routing strategies. Firstly we have introduced the concept of fuzzy rule during path detection. Secondly we have depicted another technique of routing based on application specific operational models. In this context we have shown the delivery schemes of packets in cubic models. Lastly packet delivery based on event discovery model in the light of Bayesian belief network is explained.

Index Terms—srouting, fuzzy rule , path detection , Bayesian belief network

Dr. P. Chakrabarti is with Computer Science and Engineering department , Bengal Institute of Technology and Management , Bolpur-731236 , West Bengal, India (email- prasun9999@rediffmail.com)

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Cite: P. Chakrabarti, " Dynamic Route Selection: An Artificial Intelligence Based Approach," International Journal of Computer Theory and Engineering vol. 2, no. 1, pp. 111-114, 2010.

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