An adaptive handover prediction scheme for seamless mobility based wireless networks
We propose an adaptive handover prediction (AHP) scheme for seamless mobility based wireless networks. That is, the AHP scheme incorporates fuzzy logic with AP prediction process in order to lend cognitive capability to handover decision making. Selection metrics, including received signal strength,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2014
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| Online Access: | http://eprints.utm.my/51761/1/NorsheilaFisal2014_AnAdaptiveHandoverPredictionScheme.pdf |
| _version_ | 1796859659646140416 |
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| author | Sadiq, Ali Safa Fisal, Norsheila Ghafoor, Kayhan Zrar Lloret, Jaime |
| author_facet | Sadiq, Ali Safa Fisal, Norsheila Ghafoor, Kayhan Zrar Lloret, Jaime |
| author_sort | Sadiq, Ali Safa |
| collection | ePrints |
| description | We propose an adaptive handover prediction (AHP) scheme for seamless mobility based wireless networks. That is, the AHP scheme incorporates fuzzy logic with AP prediction process in order to lend cognitive capability to handover decision making. Selection metrics, including received signal strength, mobile node relative direction towards the access points in the vicinity, and access point load, are collected and considered inputs of the fuzzy decision making system in order to select the best preferable AP around WLANs. The obtained handover decision which is based on the calculated quality cost using fuzzy inference system is also based on adaptable coefficients instead of fixed coefficients. In other words, the mean and the standard deviation of the normalized network prediction metrics of fuzzy inference system, which are collected from available WLANs are obtained adaptively. Accordingly, they are applied as statistical information to adjust or adapt the coefficients of membership functions. In addition, we propose an adjustable weight vector concept for input metrics in order to cope with the continuous, unpredictable variation in their membership degrees. Furthermore, handover decisions are performed in each MN independently after knowing RSS, direction toward APs, and AP load. Finally, performance evaluation of the proposed scheme shows its superiority compared with representatives of the prediction approaches |
| first_indexed | 2024-03-05T19:30:26Z |
| format | Article |
| id | utm.eprints-51761 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T19:30:26Z |
| publishDate | 2014 |
| publisher | Hindawi Limited |
| record_format | dspace |
| spelling | utm.eprints-517612018-10-14T08:37:23Z http://eprints.utm.my/51761/ An adaptive handover prediction scheme for seamless mobility based wireless networks Sadiq, Ali Safa Fisal, Norsheila Ghafoor, Kayhan Zrar Lloret, Jaime TK Electrical engineering. Electronics Nuclear engineering We propose an adaptive handover prediction (AHP) scheme for seamless mobility based wireless networks. That is, the AHP scheme incorporates fuzzy logic with AP prediction process in order to lend cognitive capability to handover decision making. Selection metrics, including received signal strength, mobile node relative direction towards the access points in the vicinity, and access point load, are collected and considered inputs of the fuzzy decision making system in order to select the best preferable AP around WLANs. The obtained handover decision which is based on the calculated quality cost using fuzzy inference system is also based on adaptable coefficients instead of fixed coefficients. In other words, the mean and the standard deviation of the normalized network prediction metrics of fuzzy inference system, which are collected from available WLANs are obtained adaptively. Accordingly, they are applied as statistical information to adjust or adapt the coefficients of membership functions. In addition, we propose an adjustable weight vector concept for input metrics in order to cope with the continuous, unpredictable variation in their membership degrees. Furthermore, handover decisions are performed in each MN independently after knowing RSS, direction toward APs, and AP load. Finally, performance evaluation of the proposed scheme shows its superiority compared with representatives of the prediction approaches Hindawi Limited 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/51761/1/NorsheilaFisal2014_AnAdaptiveHandoverPredictionScheme.pdf Sadiq, Ali Safa and Fisal, Norsheila and Ghafoor, Kayhan Zrar and Lloret, Jaime (2014) An adaptive handover prediction scheme for seamless mobility based wireless networks. Scientific World Journal, 2014 . ISSN 2356-6140 http://dx.doi.org/10.1155/2014/610652 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sadiq, Ali Safa Fisal, Norsheila Ghafoor, Kayhan Zrar Lloret, Jaime An adaptive handover prediction scheme for seamless mobility based wireless networks |
| title | An adaptive handover prediction scheme for seamless mobility based wireless networks |
| title_full | An adaptive handover prediction scheme for seamless mobility based wireless networks |
| title_fullStr | An adaptive handover prediction scheme for seamless mobility based wireless networks |
| title_full_unstemmed | An adaptive handover prediction scheme for seamless mobility based wireless networks |
| title_short | An adaptive handover prediction scheme for seamless mobility based wireless networks |
| title_sort | adaptive handover prediction scheme for seamless mobility based wireless networks |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/51761/1/NorsheilaFisal2014_AnAdaptiveHandoverPredictionScheme.pdf |
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