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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| Main Authors: | , , |
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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/780/1/Hybrid%20mobility%20prediction%20of%20802.11%20Infrastructure%20nodes%20by%20location%20Tracking%20and%20data%20mining.pdf http://ir.unimas.my/id/eprint/780/ |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |
| Summary: | 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. |
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