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Proceedings Paper

A cross-layer adaptive handoff algorithm in wireless multimedia environments
Author(s): Tsungnan Lin; Chiapin Wang
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Paper Abstract

Providing multimedia services in wireless networks is concerned about the performance of handoff algorithms because of the irretrievable property of real-time data delivery. To lessen unnecessary handoffs and handoff latencies which can cause media disruption perceived by users, we present in this paper a cross-layer handoff algorithm base on link quality. Neural networks are used to learn the cross-layer correlation between the link quality estimator such as packet success rate and the corresponding context metric indictors, e.g. the transmitting packet length, received signal strength, and signal to noise ratio. Based on a pre-processed learning of link quality profile, our approach makes handoff decisions intelligently and efficiently with the evaluations of link quality instead of the comparisons between relative signal strength. The experiment and simulation results show that the proposed method outperforms RSS-based handoff algorithms in a transmission scenario of VoIP applications.

Paper Details

Date Published: 8 October 2007
PDF: 12 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960Y (8 October 2007); doi: 10.1117/12.740212
Show Author Affiliations
Tsungnan Lin, National Taiwan Univ. (Taiwan)
Chiapin Wang, National Taiwan Univ. (Taiwan)


Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)

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