Processing precision-constrained approximate queries in wireless sensor networks

Minji Wu*, Jianliang XU, Xueyan Tang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

19 Citations (Scopus)

Abstract

A lot of research efforts have been devoted to improving energy efficiency for wireless sensor networks by exploring distributed data storage and in-network query processing techniques. In this paper, we present a generic two-tier data storage strategy for answering precision-constrained approximate queries in a sensor network. The basic idea is to keep two versions of data in the network. A high-precision version is kept at the sensor node that captures the data while a low-precision version is maintained at the base station. We develop query processing and node refreshment strategies for various types of approximate queries under the two-tier storage. Our extensive experiments show that the two-tier storage strategy outperforms the basic centralized storage scheme by an order of magnitude in terms of network lifetime under various system configurations.

Original languageEnglish
Title of host publication7th International Conference on Mobile Data Management, 2006. MDM 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-38
Number of pages8
ISBN (Print)0769525261, 9780769525266
DOIs
Publication statusPublished - 2006
Event7th International Conference on Mobile Data Management, 2006. MDM 2006 - Nara, Japan
Duration: 10 May 200612 May 2006

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2006
ISSN (Print)1551-6245

Conference

Conference7th International Conference on Mobile Data Management, 2006. MDM 2006
Country/TerritoryJapan
CityNara
Period10/05/0612/05/06

Scopus Subject Areas

  • Engineering(all)

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