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Adaptive data mining approach for flow redirection in multihomed mobile router

Title
Adaptive data mining approach for flow redirection in multihomed mobile router
Authors
Kim M.Jung Y.Chae K.
Ewha Authors
채기준김미희
SCOPUS Author ID
채기준scopus
Issue Date
2010
Journal Title
International Journal of Information Technology and Decision Making
ISSN
0219-6220JCR Link
Citation
vol. 9, no. 5, pp. 737 - 758
Indexed
SCIE; SCOPUS WOS scopus
Abstract
On multihomed mobile router with several interfaces toward Internet, it is important to provide an efficient flow redirection (FR) method that changes the served interface according to each network status or user movement. However, currently as the mobile devices roams, the interface is selected as only the physical signal strength, thus efficient resource use or quality of service (QoS) support is not guaranteed. In this paper, we propose an adaptive data mining approach that provides the selection of influential attributes for FR and the proper FR decision model as the interface type. We analyze assuming network protocols in order to heuristically extract the FR candidate attributes for estimating the required QoS. We abstract theoretically the FR influential attributes through decision-tree algorithm, and finally obtain the proper FR decision models per each interface. Our simulation results show that our FR approach provides improved performances in comparison with current handover. © 2010 World Scientific Publishing Company.
DOI
10.1142/S0219622010004081
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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