Energy-efficient tracking of continuous objects in wireless sensor networks

Jung Hwan Kim, Kee Bum Kim, Chauhdary Sajjad Hussain, Min Woo Cui, Myong Soon Park

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

8 Citations (Scopus)

Abstract

The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of tracking continuous objects such as fires, bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that detects and monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with simulation results that overall size of the report message as well as the number of nodes that transmit the report message to the sink can be significantly reduced especially when the density of nodes deployed over the network field is high.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings
Pages323-337
Number of pages15
DOIs
Publication statusPublished - 2008
Event5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008 - Oslo, Norway
Duration: 2008 Jun 232008 Jun 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5061 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008
CountryNorway
CityOslo
Period08/6/2308/6/25

Keywords

  • Boundary
  • Continuous objects
  • Edge
  • Energy-efficient
  • Object tracking
  • Target tracking
  • Wireless sensor networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kim, J. H., Kim, K. B., Hussain, C. S., Cui, M. W., & Park, M. S. (2008). Energy-efficient tracking of continuous objects in wireless sensor networks. In Ubiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings (pp. 323-337). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5061 LNCS). https://doi.org/10.1007/978-3-540-69293-5_26