Dividing sensitive ranges based mobility prediction algorithm in wireless networks

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 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 correctly predict the next cell to which the mobile users are going, 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 transformation 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
Pages (from-to)107-115
Number of pages9
JournalTamkang Journal of Science and Engineering
Volume13
Issue number1
DOIs
StatePublished - 1 Mar 2010

Keywords

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

Fingerprint Dive into the research topics of 'Dividing sensitive ranges based mobility prediction algorithm in wireless networks'. Together they form a unique fingerprint.

Cite this