Dividing sensitive ranges based mobility prediction algorithm in wireless networks

Yu Liang Tang*, Der Jiunn Deng, Yannan Yuan, Chun-Cheng Lin, Yueh Min Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publicationIWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Pages1223-1227
Number of pages5
DOIs
StatePublished - 6 Aug 2010
Event6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010 - Caen, France
Duration: 28 Jun 20102 Jul 2010

Publication series

NameIWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

Conference

Conference6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010
Country/TerritoryFrance
CityCaen
Period28/06/102/07/10

Keywords

  • Dividing sensitive ranges
  • Mobility prediction
  • WiFi
  • Wireless network

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