A fuzzy decision tree based mobility prediction mechanism in mobile internet

Xingwei Wang; Shuxiang Cai; Hui Cheng; Min Huang; Jiannong Cao

A fuzzy decision tree based mobility prediction mechanism in mobile internet

Xingwei Wang, Shuxiang Cai, Hui Cheng, Min Huang, Jiannong Cao

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Considering environment factor and user movement randomness, a fuzzy decision tree based mobility prediction mechanism in mobile Internet is proposed. Based on the instance set, an initial fuzzy decision tree is built up with fuzzy attribute and classification entropy. The tree produces fuzzy decision rules for instant mobility predictions and evolves with time. Simulation results have shown that the proposed mechanism is both feasible and effective with relatively high accuracy and low overhead of mobility prediction.

Original language	English
Title of host publication	Proceedings of the 1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006
Publisher	University of Technology Sydney
Pages	75-180
Number of pages	106
ISBN (Print)	0977520005, 9780977520008
Publication status	Published - 1 Jan 2006
Event	1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006 - Sydney, NSW, Australia Duration: 13 Mar 2006 → 16 Mar 2006

Conference

Conference	1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006
Country/Territory	Australia
City	Sydney, NSW
Period	13/03/06 → 16/03/06

Keywords

Fuzzy decision tree
Mobile Internet
Mobility prediction

ASJC Scopus subject areas

Computer Networks and Communications
Communication

Cite this

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title = "A fuzzy decision tree based mobility prediction mechanism in mobile internet",

abstract = "Considering environment factor and user movement randomness, a fuzzy decision tree based mobility prediction mechanism in mobile Internet is proposed. Based on the instance set, an initial fuzzy decision tree is built up with fuzzy attribute and classification entropy. The tree produces fuzzy decision rules for instant mobility predictions and evolves with time. Simulation results have shown that the proposed mechanism is both feasible and effective with relatively high accuracy and low overhead of mobility prediction.",

keywords = "Fuzzy decision tree, Mobile Internet, Mobility prediction",

author = "Xingwei Wang and Shuxiang Cai and Hui Cheng and Min Huang and Jiannong Cao",

year = "2006",

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language = "English",

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booktitle = "Proceedings of the 1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006",

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Wang, X, Cai, S, Cheng, H, Huang, M & Cao, J 2006, A fuzzy decision tree based mobility prediction mechanism in mobile internet. in Proceedings of the 1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006. University of Technology Sydney, pp. 75-180, 1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006, Sydney, NSW, Australia, 13/03/06.

A fuzzy decision tree based mobility prediction mechanism in mobile internet. / Wang, Xingwei; Cai, Shuxiang; Cheng, Hui; Huang, Min; Cao, Jiannong.

Proceedings of the 1st IEEE International Conference on Wireless Broadband and Ultra Wideband Communications, AusWireless 2006. University of Technology Sydney, 2006. p. 75-180.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Cao, Jiannong

PY - 2006/1/1

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N2 - Considering environment factor and user movement randomness, a fuzzy decision tree based mobility prediction mechanism in mobile Internet is proposed. Based on the instance set, an initial fuzzy decision tree is built up with fuzzy attribute and classification entropy. The tree produces fuzzy decision rules for instant mobility predictions and evolves with time. Simulation results have shown that the proposed mechanism is both feasible and effective with relatively high accuracy and low overhead of mobility prediction.

AB - Considering environment factor and user movement randomness, a fuzzy decision tree based mobility prediction mechanism in mobile Internet is proposed. Based on the instance set, an initial fuzzy decision tree is built up with fuzzy attribute and classification entropy. The tree produces fuzzy decision rules for instant mobility predictions and evolves with time. Simulation results have shown that the proposed mechanism is both feasible and effective with relatively high accuracy and low overhead of mobility prediction.

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KW - Mobile Internet

KW - Mobility prediction

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PB - University of Technology Sydney

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Y2 - 13 March 2006 through 16 March 2006

ER -

A fuzzy decision tree based mobility prediction mechanism in mobile internet

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this