research-article

Dividing sensitive ranges based mobility prediction algorithm in wireless networks

Authors:

Der-Jiunn Deng,

Chun-Cheng Lin,

Yueh-Min HuangAuthors Info & Claims

IWCMC '10: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

Pages 1223 - 1227

https://doi.org/10.1145/1815396.1815676

Published: 28 June 2010 Publication History

Abstract

As wireless networks have been widely deployed for public mobile services, predicting the location of a mobile user in wireless networks became an interesting and challenging problem. If we can predict the next cell which the mobile users are going to correctly, the performance of wireless applications, such as call admission control, QoS and mobility management, can be improved as well. In this paper, we propose a mobility prediction algorithm based on dividing sensitive ranges. The division is in accordance with the cell transform probability. Then different prediction methods are applied according to the sensitivity of the range to gain high precision. Simulations are conducted to evaluate the performance of the proposed scheme. As it turns out, the simulation results show that the proposed scheme can accurately predict the location for mobile users even in the situation of lacking location history.

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Cited By

Sharma SShakya HMarriboyina V(2021)A location based novel recommender framework of user interest through data categorizationMaterials Today: Proceedings10.1016/j.matpr.2021.06.325Online publication date: Jul-2021
https://doi.org/10.1016/j.matpr.2021.06.325
Hazan IShabtai A(2019)Improving Grid-Based Location Prediction Algorithms by Speed and Direction Based BoostingIEEE Access10.1109/ACCESS.2019.28948097(21211-21219)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2894809
Sobhi-Givi SKhazali AKalbkhani HShayesteh MSolouk V(2018)Joint mode selection and resource allocation in D2D communication based underlaying cellular networksTelecommunications Systems10.1007/s11235-017-0320-567:1(47-62)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11235-017-0320-5
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Dividing sensitive ranges based mobility prediction algorithm in wireless networks

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Published In

cover image ACM Other conferences

IWCMC '10: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

June 2010

1371 pages

ISBN:9781450300629

DOI:10.1145/1815396

General Chairs:
Ahmed Helmy
University of Florida
,
Peter Mueller
IBM, Switzerland
,
Program Chair:
Yan Zhang
Simula Research Laboratory and University of Oslo, Norway

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 June 2010

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IWCMC '10: 2010 International Wireless Communications and Mobile Computing Conference

June 28 - July 2, 2010

Caen, France

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Cited By

Sharma SShakya HMarriboyina V(2021)A location based novel recommender framework of user interest through data categorizationMaterials Today: Proceedings10.1016/j.matpr.2021.06.325Online publication date: Jul-2021
https://doi.org/10.1016/j.matpr.2021.06.325
Hazan IShabtai A(2019)Improving Grid-Based Location Prediction Algorithms by Speed and Direction Based BoostingIEEE Access10.1109/ACCESS.2019.28948097(21211-21219)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2894809
Sobhi-Givi SKhazali AKalbkhani HShayesteh MSolouk V(2018)Joint mode selection and resource allocation in D2D communication based underlaying cellular networksTelecommunications Systems10.1007/s11235-017-0320-567:1(47-62)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11235-017-0320-5
Narvekar MPrabhu GNayak SBrahmbhatt N(2016)Survey of location prediction of users for mobile service2016 Online International Conference on Green Engineering and Technologies (IC-GET)10.1109/GET.2016.7916840(1-5)Online publication date: Nov-2016
https://doi.org/10.1109/GET.2016.7916840
Ganguly SBasu SRoy SMitra S(2015)A location based mobility prediction scheme for post disaster communication network using DTN2015 Applications and Innovations in Mobile Computing (AIMoC)10.1109/AIMOC.2015.7083825(25-28)Online publication date: Mar-2015
https://doi.org/10.1109/AIMOC.2015.7083825
Silva APontes EZhou FKofuji S(2014)Grey model and polynomial regression for identifying malicious nodes in MANETs2014 IEEE Global Communications Conference10.1109/GLOCOM.2014.7036801(162-168)Online publication date: Dec-2014
https://doi.org/10.1109/GLOCOM.2014.7036801
Lu XQu ZLio PHui PLi QLu PBie R(2014)Directional communication with movement prediction in mobile wireless sensor networksPersonal and Ubiquitous Computing10.1007/s00779-014-0793-018:8(1941-1953)Online publication date: 1-Dec-2014
https://dl.acm.org/doi/10.1007/s00779-014-0793-0

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