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Proceedings Paper

A vertical handoff decision algorithm based on ARMA prediction model
Author(s): Ru Li; Jiao Shen; Jun Chen; Qiuhuan Liu
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Paper Abstract

With the development of computer technology and the increasing demand for mobile communications, the next generation wireless networks will be composed of various wireless networks (e.g., WiMAX and WiFi). Vertical handoff is a key technology of next generation wireless networks. During the vertical handoff procedure, handoff decision is a crucial issue for an efficient mobility. Based on auto regression moving average (ARMA) prediction model, we propose a vertical handoff decision algorithm, which aims to improve the performance of vertical handoff and avoid unnecessary handoff. Based on the current received signal strength (RSS) and the previous RSS, the proposed approach adopt ARMA model to predict the next RSS. And then according to the predicted RSS to determine whether trigger the link layer triggering event and complete vertical handoff. The simulation results indicate that the proposed algorithm outperforms the RSS-based scheme with a threshold in the performance of handoff and the number of handoff.

Paper Details

Date Published: 14 January 2012
PDF: 7 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83492J (14 January 2012); doi: 10.1117/12.920222
Show Author Affiliations
Ru Li, Inner Mongolia Univ. (China)
Jiao Shen, Inner Mongolia Univ. (China)
Jun Chen, Inner Mongolia Univ. (China)
Qiuhuan Liu, Inner Mongolia Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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