Layer-based ID assigning method for sensor networks

Jung Hun Kang, Myong Soon Park

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

Abstract

A sensor network consists of a set of battery-powered nodes, which collaborate to perform sensing tasks in a given environment. Globally unique ID allocation is usually not applicable in a sensor network due to the massive production of cheap sensor nodes, the limited bandwidth, and the size of the payload. However, locally unique IDs are still necessary for nodes to implement communications to save energy consumption. Already several solutions have been proposed for supporting locally unique ID assignment in sensor networks. However, they bring much communication overhead, and they are complex to implement. We present a layer-based algorithm to solve the unique ID assignment problem. This algorithm can save energy consumption by reducing communication overhead while IDs are assigned.

Original languageEnglish
Title of host publicationUbiquitous Convergence Technology - First International Conference, ICUCT 2006, Revised Selected Papers
PublisherSpringer Verlag
Pages210-219
Number of pages10
ISBN (Print)9783540717881
DOIs
Publication statusPublished - 2007
Event1st International Conference on Ubiquitous Convergence Technology, ICUCT 2006 - Jeju Island, Korea, Republic of
Duration: 2006 Dec 52006 Dec 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4412 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Ubiquitous Convergence Technology, ICUCT 2006
CountryKorea, Republic of
CityJeju Island
Period06/12/506/12/6

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kang, J. H., & Park, M. S. (2007). Layer-based ID assigning method for sensor networks. In Ubiquitous Convergence Technology - First International Conference, ICUCT 2006, Revised Selected Papers (pp. 210-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4412 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-71789-8_22