Energy-efficient data organization and query processing in sensor networks

Recent sensor networks research has produced a class of data storage and query processing techniques called data-centric storage that leverages locality-preserving distributed indexes to efficiently answer multi-dimensional range and range-aggregate queries. These distributed indexes offer a rich de...

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Bibliographic Details
Main Authors: Ramakrishna Gummadi, Li, X., Ramesh Govindan, Shahabi, C., Hong, W.
Format: Conference Proceeding
Language:English
Subjects:
Costs
Distributed control
Energy efficiency
Floods
Intelligent networks
Intelligent sensors
Memory
Query processing
Sensor phenomena and characterization
Space exploration
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Summary:Recent sensor networks research has produced a class of data storage and query processing techniques called data-centric storage that leverages locality-preserving distributed indexes to efficiently answer multi-dimensional range and range-aggregate queries. These distributed indexes offer a rich design space of a) logical decompositions of sensor relation schema into indexes, as well as b) physical mappings of these indexes onto sensors. In this paper, we explore this space for energy-efficient data organizations (logical and physical mappings of tuples and attributes to sensor nodes) and devise purely local query optimization techniques for processing queries that span such decomposed relations.
ISSN:1063-6382
2375-026X
DOI:10.1109/ICDE.2005.61