Optimizing energy-efficient query processing in wireless sensor networks

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

7 Scopus citations

Abstract

This paper studies the issues of energy-efficient query optimization for wireless sensor networks. Different from existing query optimization techniques that consider only query plans for extracting data from sensors at individual nodes, our approach takes into account both of the sensing and communication cost in query plans. Central to our study is a cost-based analysis, based on which the energy cost of candidate plans for a given query are estimated to determine a query plan that is likely to consume the least energy for execution. Simulation results show that the query plan chosen in our approach consumes significantly less energy than an approach that optimizes on sensing cost only.

Original languageEnglish (US)
Title of host publicationProceedings - 8th International Conference on Mobile Data Management, MDM 2007
Pages24-29
Number of pages6
DOIs
StatePublished - Dec 1 2007
Event8th International Conference on Mobile Data Management, MDM 2007 - Mannheim, Germany
Duration: May 7 2007May 11 2007

Publication series

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

Other

Other8th International Conference on Mobile Data Management, MDM 2007
CountryGermany
CityMannheim
Period5/7/075/11/07

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Rosemark, R., Lee, W., & Urgaonkar, B. (2007). Optimizing energy-efficient query processing in wireless sensor networks. In Proceedings - 8th International Conference on Mobile Data Management, MDM 2007 (pp. 24-29). [4417120] (Proceedings - IEEE International Conference on Mobile Data Management). https://doi.org/10.1109/MDM.2007.13