A cross-layer adaptive handoff algorithm in wireless multimedia environments

Tsungnan Lin*, Chiapin Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXX
Publication statusPublished - 2007
Externally publishedYes
EventApplications of Digital Image Processing XXX - San Diego, CA, United States
Duration: 2007 Aug 282007 Aug 30

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherApplications of Digital Image Processing XXX
Country/TerritoryUnited States
CitySan Diego, CA


  • Cross-layer
  • Handoff algorithm
  • Multimedia

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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