Learning-Based Routing in Cognitive Networks
DOI:
https://doi.org/10.51611/iars.irj.v4i2.2014.40Keywords:
ROUTING STRATEGIES, COGNITIVE NETWORK, PACKET ROUTING, DIRECTED ACYCLIC GRAPHSAbstract
Intelligent Routing can influence the overall performance of a communication network’s throughput and efficiency. Routing strategies is required to adapt to changing network loads and different topologies. Learning from the network environment, in order to optimally adapt the network settings, is an essential requirement for providing efficient communication services in such environments. Cognitive networks are capable of learning and reasoning. They can energetically adapt to varying network conditions in order to optimize end-to-end performance and utilize network resources. In this paper we will focus machine learning in routing scheme that includes routing awareness, a routing reconfiguration.
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Edwill Nel, C.W. Omlin. "MACHINE LEARNING ALGORITHMS FOR PACKET ROUTING IN TELECOMMUNICATION NETWORKS." Bellville, South Africa.
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Copyright (c) 2014 Tahir Alyas, Nadia Tabassum, Shahid Naseem, Fahad Ahmed, Qura Tul Ein
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