Data Management in the Worldwide Sensor Web

Harvesting the benefits of a sensor-rich world presents many data management challenges. Recent advances in research and industry aim to address these challenges. With the rapidly increasing number of large-scale sensor network deployments, the vision of a worldwide sensor Web is close to becoming a...

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Bibliographic Details
Published in:IEEE pervasive computing 2007-04, Vol.6 (2), p.30-40
Main Authors: Balazinska, M., Deshpande, A., Franklin, M.J., Gibbons, P.B., Gray, J., Nath, S., Hansen, M., Liebhold, M., Szalay, A., Tao, V.
Format: Article
Language:English
Subjects:
Biomedical monitoring
Biosensors
Cardiac disease
Cardiovascular diseases
Computation
Data analysis
Data management
data modeling
data streams
data uncertainty
Data visualization
distributed systems
Harvesting
Influenza
interoperability
Large-scale systems
Networks
Patient monitoring
sensor networks
Sensors
Vision
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Description
Summary:Harvesting the benefits of a sensor-rich world presents many data management challenges. Recent advances in research and industry aim to address these challenges. With the rapidly increasing number of large-scale sensor network deployments, the vision of a worldwide sensor Web is close to becoming a reality.
ISSN:1536-1268
1558-2590
DOI:10.1109/MPRV.2007.27