Neighbor node discovery algorithm for energy-efficient clustering in ubiquitious sensor networks

Ji Young Choi, Chung Gu Kang, Yong Suk Kim, Kyeong Hur

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

2 Citations (Scopus)

Abstract

Clustering algorithm is an essential element to implement a hierarchical routing protocol, especially for a large-scale wireless sensor network. In this paper, we propose a new type of energy-efficient clustering algorithm, which maximizes the physical distance between cluster head and gateway by a neighbor node discovery mechanism. Furthermore, a slave/master patching scheme is introduced as a useful means of further improving the energy-efficiency. It has been shown that the number of cluster heads can be reduced by as many as 21 % as compared with the existing clustering algorithms.

Original languageEnglish
Title of host publicationEmbedded and Ubiquitous Computing - EUC 2005 Workshops
Subtitle of host publicationUISW, NCUS, SecUbiq, USN, and TAUES, Proceedings
EditorsTomoya Enokido, Lu Yan, Bin Xiao, Daeyoung Kim, Yuanshun Dai, Laurence T. Yang
PublisherSpringer Verlag
Pages470-479
Number of pages10
ISBN (Print)3540308032, 9783540308034
DOIs
Publication statusPublished - 2005
EventEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES - Nagasaki, Japan
Duration: 2005 Dec 62005 Dec 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3823 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES
Country/TerritoryJapan
CityNagasaki
Period05/12/605/12/9

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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