A performance study of context transfer protocol for QoS support

Novella Bartolini, Paolo Campegiani, Emiliano Casalicchio, Salvatore Tucci

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

In nowadays wireless networks, mobile users frequently access context dependent Internet services. During handover procedures, the management of context related information introduces additional overheads to transfer context-aware service sessions. The overhead due to context transfer procedures may affect the quality of service perceived by mobile users making more difficult to realize seamless handover procedures. Context Transfer Protocol can improve the QoS perceived by mobile nodes that access context dependent services. In this paper we extend motivations for context transfer, and we introduce three different scenarios for Context Transfer Protocol. We propose a performance model to compare these scenarios when context transfer protocol run on top of IPv6 with fast handover mechanisms.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsCevdet Aykanat, Tugrul Dayar, Ibrahim Korpeoglu
PublisherSpringer Verlag
Pages594-603
Number of pages10
ISBN (Print)3540235264, 9783540235262
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3280
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'A performance study of context transfer protocol for QoS support'. Together they form a unique fingerprint.

  • Cite this

    Bartolini, N., Campegiani, P., Casalicchio, E., & Tucci, S. (2004). A performance study of context transfer protocol for QoS support. In C. Aykanat, T. Dayar, & I. Korpeoglu (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 594-603). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3280). Springer Verlag. https://doi.org/10.1007/978-3-540-30182-0_60