Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining
In an IEEE 802.11 Infrastructure network, as the mobile node is movingfrom one access pointto another, the resource allocation and smooth hand offmay be a problem. Ifsome reliable prediction is done on mobile node's next move, then resources can be allocated optimally as the mobile node moves...
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| Format: | Article |
| Language: | English |
| Published: |
Journal of IT in Asia
2010
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/780/ http://ir.unimas.my/id/eprint/780/1/Hybrid%20mobility%20prediction%20of%20802.11%20Infrastructure%20nodes%20by%20location%20Tracking%20and%20data%20mining.pdf |
| _version_ | 1848834615067803648 |
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| author | Biju, Issac Khairuddin, Ab Hamid C.E., Tan |
| author_facet | Biju, Issac Khairuddin, Ab Hamid C.E., Tan |
| author_sort | Biju, Issac |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In an IEEE 802.11 Infrastructure network, as the mobile node is movingfrom one access pointto another, the resource allocation and smooth hand offmay be a problem. Ifsome reliable prediction is done on mobile node's next
move, then resources can be allocated optimally as the mobile node moves around. This would increase the performance throughput ofwireless network. We plan to
investigate on a hybrid mobility prediction scheme that uses location tracking and data mining to predict thefuture path ofthe mobile node. We also propose a secure version ofthe same scheme. Through simulation and analysis, we present the
prediction accuracy ofour proposal. |
| first_indexed | 2025-11-15T05:54:47Z |
| format | Article |
| id | unimas-780 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:54:47Z |
| publishDate | 2010 |
| publisher | Journal of IT in Asia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-7802023-03-22T02:44:01Z http://ir.unimas.my/id/eprint/780/ Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining Biju, Issac Khairuddin, Ab Hamid C.E., Tan Q Science (General) T Technology (General) In an IEEE 802.11 Infrastructure network, as the mobile node is movingfrom one access pointto another, the resource allocation and smooth hand offmay be a problem. Ifsome reliable prediction is done on mobile node's next move, then resources can be allocated optimally as the mobile node moves around. This would increase the performance throughput ofwireless network. We plan to investigate on a hybrid mobility prediction scheme that uses location tracking and data mining to predict thefuture path ofthe mobile node. We also propose a secure version ofthe same scheme. Through simulation and analysis, we present the prediction accuracy ofour proposal. Journal of IT in Asia 2010 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/780/1/Hybrid%20mobility%20prediction%20of%20802.11%20Infrastructure%20nodes%20by%20location%20Tracking%20and%20data%20mining.pdf Biju, Issac and Khairuddin, Ab Hamid and C.E., Tan (2010) Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining. Journal of IT in Asia, 3 (1). |
| spellingShingle | Q Science (General) T Technology (General) Biju, Issac Khairuddin, Ab Hamid C.E., Tan Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining |
| title | Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining |
| title_full | Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining |
| title_fullStr | Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining |
| title_full_unstemmed | Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining |
| title_short | Hybrid mobility prediction of 802.11 Infrastructure nodes by location Tracking and data mining |
| title_sort | hybrid mobility prediction of 802.11 infrastructure nodes by location tracking and data mining |
| topic | Q Science (General) T Technology (General) |
| url | http://ir.unimas.my/id/eprint/780/ http://ir.unimas.my/id/eprint/780/1/Hybrid%20mobility%20prediction%20of%20802.11%20Infrastructure%20nodes%20by%20location%20Tracking%20and%20data%20mining.pdf |