Adaptive clustering with virtual subnets support in ad hoc networks

Tzu Chiang Chiang, Ming Hui Tsai, Yueh Min Huang

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

2 Citations (Scopus)

Abstract

This paper concerns how the virtual subnet mechanism is engaged with the hierarchical architecture in ad hoc networks. The employment of virtual subnets performed at the Data Link Layer can prevent the reveal of broadcast storm and further improve the efficiency of traffic between members of specific group in ad hoc networks. A convenient method is proposed to select crucial backbone nodes which will furnish the ability of filtering frames in virtual subnet against the unnecessary flooding, termed CVA (Clustering with Virtual subnets support Algorithm). The chosen nodes include two different types, station nodes and port nodes, which act functionally as the switch and the ports of the switch to filter frames, respectively. We evaluate CVA with the metrics of average nodes in the backbone and duration of the protocols. The simulation result manifests the proper performance while supporting the virtual subnets in ad hoc networks.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2006
Subtitle of host publication6th International Conference, Proceedings
PublisherSpringer Verlag
Pages1008-1015
Number of pages8
ISBN (Print)3540343814, 9783540343813
DOIs
Publication statusPublished - 2006 Jan 1
EventICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duration: 2006 May 282006 May 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3992 LNCS - II
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherICCS 2006: 6th International Conference on Computational Science
CountryUnited Kingdom
CityReading
Period06-05-2806-05-31

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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