Dynamic clustering for object tracking in wireless sensor networks

Guang Yao Jin, Xiao Yi Lu, Myong Soon Park

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

45 Citations (Scopus)

Abstract

Object tracking is an important feature of the ubiquitous society and also a killer application of wireless sensor networks. Nowadays, there are many researches on object tracking in wireless sensor networks under practice, however most of them cannot effectively deal with the trade-off between missing-rate and energy efficiency. In this paper, we propose a dynamic clustering mechanism for object tracking in wireless sensor networks. With forming the cluster dynamically according to the route of moving, the proposed method can not only decrease the missing-rate but can also decrease the energy consumption by reducing the number of nodes that participate in tracking and minimizing the communication cost, thus can enhance the lifetime of the whole sensor networks. The simulation result shows that our proposed method achieves lower energy consumption and lower missing-rate.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages200-209
Number of pages10
Volume4239 LNCS
Publication statusPublished - 2006 Nov 13
Event3rd International Symposium on Ubiquitous Computing Systems, UCS 2006 - Seoul, Korea, Republic of
Duration: 2006 Oct 112006 Oct 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4239 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Symposium on Ubiquitous Computing Systems, UCS 2006
CountryKorea, Republic of
CitySeoul
Period06/10/1106/10/13

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Jin, G. Y., Lu, X. Y., & Park, M. S. (2006). Dynamic clustering for object tracking in wireless sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4239 LNCS, pp. 200-209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4239 LNCS).