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dc.contributor.authorMadubashitha, D. K. D-
dc.contributor.authorWijesinghe, W. M. S. S-
dc.contributor.authorKamaladiwela, K. A. S. R-
dc.contributor.authorRanaweera, M. G. P-
dc.contributor.authorWijekoon, J-
dc.contributor.authorAbeygunawardhana, P. K. W-
dc.date.accessioned2022-02-18T11:00:46Z-
dc.date.available2022-02-18T11:00:46Z-
dc.date.issued2011-08-16-
dc.identifier.citationD. K. D. Madubashitha, W. M. S. S. Wijesinghe, K. A. S. R. Kamaladiwela, M. G. P. Ranaweera, J. Wijekoon and P. K. W. Abeygunawardhana, "An adaptive routing algorithm for Cognitive Packet Network infrastructure based on neural networks," 2011 6th International Conference on Industrial and Information Systems, 2011, pp. 60-65, doi: 10.1109/ICIINFS.2011.6038041.en_US
dc.identifier.issn2164-7011-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1284-
dc.description.abstractThis paper examines the possibility of introducing an intelligent routing protocol to the Internet, based on the Cognitive Packet Network (CPN) architecture with respect to the Quality of Service (QoS) delivered to the end users. In the present with increasing populations of countries it is clear that present infrastructure does not hold the sufficient capacity to deliver the expected level of service to the end users. Since there is an eminent need for a solution for improving the QoS in the Internet, this research focuses to provide a new network architecture which would improve the QoS, provide reliable and efficient service which can fulfill the ever growing Internet usage demand. This is achieved through a new network architecture known as CPN which is based on the basis of providing the best and user desired QoS. The main underlying technology behind the CPN will be a neural network. The neural network will be learning the changes in the network and adapt to the situation through the knowledge gathered. The packets will collectively learn about the network thus the load on the routers will be minimized. This mechanism completely replaces the need of a routing table thus making routing far more efficient when comparing to current routing protocols like Open Shortest Path First (OSPF). Final outcome of the research is coming to the conclusion that the future of the Internet is with the neural network based intelligent, dynamically adapting and learning CPN infrastructure instead of current packet switched network.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2011 6th International Conference on Industrial and Information Systems;Pages 60-65-
dc.subjectadaptive routingen_US
dc.subjectalgorithmen_US
dc.subjectCognitive Packet Networken_US
dc.subjectinfrastructure baseden_US
dc.subjectneural networksen_US
dc.titleAn adaptive routing algorithm for Cognitive Packet Network infrastructure based on neural networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICIINFS.2011.6038041en_US
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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