Performance Evaluation of A Class of Adaptive Bifurcated Routing Algorithms

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Performance Evaluation of A Class of Adaptive Bifurcated Routing Algorithms

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dc.contributor.author Ayad, N. M. en_US
dc.date.accessioned 2009-11-25T13:03:47Z
dc.date.available 2009-11-25T13:03:47Z
dc.date.issued 1988 en_US
dc.identifier.citation Engineering Journal of Qatar University, 1988, Vol. 1, Pages 283-294. en_US
dc.identifier.uri http://hdl.handle.net/10576/7852
dc.description.abstract With the cost of computation decreasing, packet-switched computer communication networks are becoming increasingly cost effective. In this paper a class of bifurcated routing algorithms is considered. One of the algorithms uses distributed control and routing decisions based on stochastic measures. The second one is a deterministic routing algorithm that uses localised deterministic routing decisions based on centralised measures. The third algorithm uses "Learning Automata" principle which is a promising technique because of its simplicity and ease of implementation. The three algorithms have been modelled and simulated to evaluate their performance under network conditions. A quantitative investigation of the three algorithms under various traffic conditions has been carried out. The overall average time delay, the average retransmission probability, and the average response time have been taken as a common basis of the comparative study. Regarding these measures, the learning automata has proved to be the best. en_US
dc.language.iso en en_US
dc.publisher Qatar University en_US
dc.subject Computer Hardware & Networks en_US
dc.title Performance Evaluation of A Class of Adaptive Bifurcated Routing Algorithms en_US
dc.type Article en_US
dc.identifier.pagination 283-294 en_US
dc.identifier.volume 1 en_US

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