Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICON.2002.1033355
DC FieldValue
dc.titleIntelligent transport protocol design using genetic algorithm
dc.contributor.authorBoh, C.L.D.
dc.contributor.authorGuan, S.-U.
dc.date.accessioned2014-10-07T04:45:56Z
dc.date.available2014-10-07T04:45:56Z
dc.date.issued2002
dc.identifier.citationBoh, C.L.D., Guan, S.-U. (2002). Intelligent transport protocol design using genetic algorithm. IEEE International Conference on Networks, ICON : 467-472. ScholarBank@NUS Repository. https://doi.org/10.1109/ICON.2002.1033355
dc.identifier.isbn0780375335
dc.identifier.issn15566463
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/83852
dc.description.abstractWith the growth of Information Technology in all aspects of management, business and entertainment, there is an increasing demand for networking for very varied purposes: fast file transfer, video streaming and voice over Internet Protocol. Configurability, adaptability, intelligence and QoS orientation are the qualities of a successful future transport protocol. A constant process of analyzing networking through fitness levels allows feedback on QoS achievement and subsequent protocol engineering. We present an intelligent protocol, genetic algorithm transport protocol (GATP), that can evolve and adapt to the network environment and achieve an evolving user-configurable QoS. Using a constant process of negotiation, implementation and feedback, a QoS-focused networking between peers can be achieved. A review of experimental results will provide an interesting insight into genetic algorithm behavior in an actual network environment. © 2002 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICON.2002.1033355
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICON.2002.1033355
dc.description.sourcetitleIEEE International Conference on Networks, ICON
dc.description.page467-472
dc.identifier.isiut000180247200073
Appears in Collections:Staff Publications

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