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

46 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 publicationUbiquitous Computing Systems - Third International Symposium, UCS 2006, Proceedings
PublisherSpringer Verlag
Pages200-209
Number of pages10
ISBN (Print)3540462872, 9783540462873
DOIs
Publication statusPublished - 2006
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)0302-9743
ISSN (Electronic)1611-3349

Other

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Jin, G. Y., Lu, X. Y., & Park, M. S. (2006). Dynamic clustering for object tracking in wireless sensor networks. In Ubiquitous Computing Systems - Third International Symposium, UCS 2006, Proceedings (pp. 200-209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4239 LNCS). Springer Verlag. https://doi.org/10.1007/11890348_16