Energy-efficient data dissemination in sensor networks using distributed dynamic tree management

Kwang I. Hwang, Doo-Seop Eom

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, an energy-efficient data disemination protocol designed for mobile sink applications in sensor networks, is proposed. The dissemination scheme exploits the Distributed Dynamic Tree (DDT), which is able to identity current location sinks locally and dynamically transform the tree shape according to sink movement. In addition, the Dynamic Shared Tree(DST), which is an extension of the DDT, is presented. The DST is able to accomocate multiple mobile sinks. The DST, based on the DDT, creates a two-tired network composed of a sensor data dissemination level and communication level between sinks. The simulation results demonstrate that the DST performs considerably energyefficient data dissemination with relatively low delay, compared to other dissemination protocols.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages32-45
Number of pages14
Volume4104 LNCS
Publication statusPublished - 2006 Oct 17
Event5th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2006 - Ottawa, Canada
Duration: 2006 Aug 17 → 2006 Aug 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4104 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2006
CountryCanada
CityOttawa
Period06/8/17 → 06/8/19

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ASJC Scopus subject areas

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

Cite this

Hwang, K. I., & Eom, D-S. (2006). Energy-efficient data dissemination in sensor networks using distributed dynamic tree management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4104 LNCS, pp. 32-45). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4104 LNCS).

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