Distributed dynamic shared tree for minimum energy data aggregation of multiple mobile sinks in wireless sensor networks

Hwang Kwang-il, Jeongsik In, Doo Seop Eom

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

18 Citations (Scopus)

Abstract

Sink mobility creates new challenges for several sensor network applications. In mobile sink environments, each sink must propagate its current location continuously, through a sensor field, in order to keep all sensor nodes updated with the direction of data forwarding. This method consumes large amounts of energy. Although several protocols, such as DD, TTDD, and SEAD, have been proposed, in order to solve mobile sink problems, no existing approaches provide both a low delay and energy-efficient solution to this mobile sink problem. In this paper, a distributed dynamic shared tree for minimum energy data aggregation with low delay in highly mobile sink environments, is proposed. In the proposed protocol, the tree is shared with the other slave sinks. Through simulations it is shown that the DST is an extremely energy-efficient, robust protocol with relatively low delay, when compared to DD, TTDD, and SEAD.

Original languageEnglish
Title of host publicationWireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings
Pages132-147
Number of pages16
Publication statusPublished - 2006
Event3rd European Workshop on Wireless Sensor Networks, EWSN 2006 - Zurich, Switzerland
Duration: 2006 Feb 132006 Feb 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3868 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd European Workshop on Wireless Sensor Networks, EWSN 2006
CountrySwitzerland
CityZurich
Period06/2/1306/2/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kwang-il, H., In, J., & Eom, D. S. (2006). Distributed dynamic shared tree for minimum energy data aggregation of multiple mobile sinks in wireless sensor networks. In Wireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings (pp. 132-147). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3868 LNCS).