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Resource Abstract:
- Distributed wireless architectures for prognostics is an important enabling step in prognostic research in order to achieve
feasible real-time system health management. A significant problem encountered in implementation of such architectures is
power management. In this paper, we present robust power management techniques for a generic health management architecture
that involves diagnostics and prognostics for a system comprising multiple heterogeneous components. Our power management
techniques are based on online dynamic monitoring of the sensor battery discharge profile which enables accurate predictions
of when the device should be put into low power modes. In our architecture, low power mode is achieved by run-time sampling
rate modification through sleep states. Our experiments with a cluster of smart sensors for a hybrid diagnostics and prognostics
architecture show significant gains in power management without severe loss in performance.
Citation
- Title Power Management for A Distributed Wireless Health Management Architecture
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- revision Date
2013-05-09T13:51:10
Resource language:
[u'en-US']
Constraints on resource usage:
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point of contact
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publisher
- individual Name {u'hasEmail': u'mailto:miryam.strautkalns@nasa.gov', u'fn': u'Miryam Strautkalns'}
- organisation Name
{u'subOrganizationOf': {u'subOrganizationOf': {u'name': u'U.S. Government'}, u'name': u'National Aeronautics and Space Administration'},
u'name': u'Dashlink'}
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Metadata data stamp:
2013-05-09T13:51:10
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dataset
Metadata standard for this record:
ISO 19115:2003 - Geographic information - Metadata
standard version:
ISO 19115:2003
Metadata record identifier:
DASHLINK_731
Metadata record format is ISO19139 XML (MD_Metadata)