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Mobility Pattern Learning and Route Prediction Based Location Management in PCS Network

Senzaki, Daizuke and Chakraborty, Goutam and Mabuchi, Hiroshi and Matsura, Masafumi (2006) Mobility Pattern Learning and Route Prediction Based Location Management in PCS Network. In: 20th International Conference on Advanced Information Networking and Applications. IEEE , Los Alamitos, CA, pp. 351-355. ISBN 0-7695-2466-4.

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Mobile host (MH) has to be tracked in personal communication service (PCS) network, for which update and paging signals are required. The number of PCS network subscribers skyrocketed in recent years. To reuse channels over a distance, cell size is reduced and the number of cell crossing by user is becoming high. That makes optimal use of paging and update signal very important. In fact, most MH has unique movement profile, that contains the information of time, route, direction, etc., which is possible to learn and used to predict location. In this paper, we propose mobility pattern based location management scheme using the movement profile. Mobility pattern is learned and system will page only the restricted probable area. We compared the proposed scheme with distance-based location management. Improved cost saving is achieved.

Item Type:Book Section
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Additional Information:© 2006 IEEE. Date of Current Version: 15 May 2006. Issue Date: 18-20 April 2006.
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INSPEC Accession Number: 8986911
Record Number:CaltechAUTHORS:20110729-104549652
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Official Citation:Senzaki, D.; Chakraborty, G.; Mabuchi, H.; Matsuhara, M.; , "Mobility pattern learning and route prediction based location management in PCS network," Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference on , vol.2, no., pp. 5 pp., 18-20 April 2006 doi: 10.1109/AINA.2006.230 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24599
Deposited By: Ruth Sustaita
Deposited On:01 Aug 2011 14:56
Last Modified:09 Nov 2021 16:25

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