Dynamic handover mechanism using mobile SCTP in contention based wireless network

Lin Huang Chang, Huan Jie Lin, Ing Chau Chang

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

2 Citations (Scopus)

Abstract

Mobile SCTP (mSCTP) has been proposed to support transport layer mobility management. In this paper, we proposed a dynamic handover mechanism named Contention-based mSCTP (C-mSCTP) in the contention based wireless network. The handover strategy in C-mSCTP takes wireless bandwidth and the contention probability into account to set the primary path before transmitting data. The simulation results show that the C-mSCTP achieves much better performance in terms of transmission delay and throughput than mSCTP does.

Original languageEnglish
Title of host publicationParallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq
PublisherSpringer Verlag
Pages821-831
Number of pages11
ISBN (Print)3540747419, 9783540747413
DOIs
Publication statusPublished - 2007 Jan 1
Event5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007 - Niagara Falls, Canada
Duration: 2007 Aug 292007 Aug 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4742 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007
CountryCanada
CityNiagara Falls
Period07-08-2907-08-31

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Chang, L. H., Lin, H. J., & Chang, I. C. (2007). Dynamic handover mechanism using mobile SCTP in contention based wireless network. In Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq (pp. 821-831). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4742 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74742-0_73