Prediction based mobile data aggregation in wireless sensor network

Sang Bin Lee, Songmin Kim, Doohyun Ko, Sungjun Kim, Sun-Shin An

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

6 Citations (Scopus)

Abstract

A wireless sensor network consists of many energyautonomous micro-sensors distributed throughout an area of interest. Each node has a limited energy supply and generates information that needs to be communicated to a sink node. To reduce costs, the data sent via intermediate sensors to a sink, are often aggregated. The existing energy-efficient approaches to in-network aggregation in sensor networks can be classified into two categories, the centralized and distributed approaches, each having its unique strengths and weaknesses. In this paper, we introduce PMDA (Prediction based Mobile Data Aggregation) scheme which uses a novel data aggregation scheme to utilize the knowledge of the mobile node and the infrastructure (static node tree) in gathering the data from the mobile node. This knowledge (geo-location and transmission range of the mobile node) is useful for gathering the data of the mobile node. Hence, the sensor nodes can construct a near-optimal aggregation tree by itself, using the knowledge of the mobile node, which is a similar process to forming the centralized aggregation tree. We show that the PMDA is a near-optimal data aggregation scheme with mobility support, achieving energy and delay efficiency. This data aggregation scheme is proven to outperform the other general data aggregation schemes by our experimental results.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages328-339
Number of pages12
Volume5529
DOIs
Publication statusPublished - 2009 Jul 15
Event4th International Conference on Grid and Pervasive Computing, GPC 2009 - Geneva, Switzerland
Duration: 2009 May 42009 May 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5529
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Grid and Pervasive Computing, GPC 2009
CountrySwitzerland
CityGeneva
Period09/5/409/5/8

Keywords

  • Data aggregation
  • Mobility
  • Prediction
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Lee, S. B., Kim, S., Ko, D., Kim, S., & An, S-S. (2009). Prediction based mobile data aggregation in wireless sensor network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5529, pp. 328-339). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5529). https://doi.org/10.1007/978-3-642-01671-4_30