Adaptive data mining approach for flow redirection in multihomed mobile router

Mihui Kim, Yukyong Jung, Kijoon Chae

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish
Pages (from-to)737-758
Number of pages22
JournalInternational Journal of Information Technology and Decision Making
Issue number5
StatePublished - Sep 2010

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation (NRF) of Korea Grants funded by the Korean Government (MEST) [NRF-2009-352-D00286] and (NO. R01-2009-0083-985).


  • data mining
  • Flow redirection
  • mobile router
  • multihoming
  • WiBro (IEEE 802.16e, mobile WiMax)


Dive into the research topics of 'Adaptive data mining approach for flow redirection in multihomed mobile router'. Together they form a unique fingerprint.

Cite this