Hierarchical Grown Bluetrees (HGB) - An effective topology for bluetooth scatternets

Tsung Chuan Huang, Chu Sing Yang, Chao Chieh Huang, Shen Wen Bai

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Bluetooth is a promising technology for short-range wireless communication and networking, mainly used as a replacement for connected cables. The specification defines how to build a piconet and there are several existing solutions to construct a scatternet from the piconets. The process to construct a scatternet is called scatternet formation. We find that a tree shape scatternet called bluetree has three defects: First, it lacks efficiency in routing because the bluetree may form a skewed tree, not a balanced tree, resulting in longer routing paths. Second, the parent nodes in bluetree are very likely to become the bottlenecks of communication. Third, it lacks reliability. When a parent node is lost, it could cause several separated subtrees. In this paper we introduce an algorithm to generate the bluetree hierarchically; namely, the algorithm grows nodes in the bluetree level by level. This resolves the foregoing defects in scatternet formation. We construct the bluetree, keeping it balanced, to achieve the shorter routing paths, and establish the connection pairs between the siblings to provide another path to route. As a result, the traffic load at parent nodes can be greatly improved. Besides, once a parent node is lost, only two separated parts will be caused. A better reliability is therefore obtained.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMinyi Guo, Laurence Tianruo Yang
PublisherSpringer Verlag
Pages152-164
Number of pages13
ISBN (Print)9783540376194
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2745
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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