| Dynamic data fusion for future sensor networks |
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ACM Transactions on Sensor Networks (TOSN)
archive
Volume 2 , Issue 3 (August 2006)
table of contents
Pages: 404 - 443
Year of Publication: 2006
ISSN:1550-4859
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Authors
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Umakishore Ramachandran
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Georgia Institute of Technology, Atlanta, Georgia
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Rajnish Kumar
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Georgia Institute of Technology, Atlanta, Georgia
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Matthew Wolenetz
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Georgia Institute of Technology, Atlanta, Georgia
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Brian Cooper
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Georgia Institute of Technology, Atlanta, Georgia
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Bikash Agarwalla
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Georgia Institute of Technology, Atlanta, Georgia
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Junsuk Shin
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Georgia Institute of Technology, Atlanta, Georgia
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Phillip Hutto
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Georgia Institute of Technology, Atlanta, Georgia
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Arnab Paul
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Georgia Institute of Technology, Atlanta, Georgia
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Downloads (6 Weeks): 28, Downloads (12 Months): 262, Citation Count: 0
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ABSTRACT
DFuse is an architectural framework for dynamic application-specified data fusion in sensor networks. It bridges an important abstraction gap for developing advanced fusion applications that takes into account the dynamic nature of applications and sensor networks. Elements of the DFuse architecture include a fusion API, a distributed role assignment algorithm that dynamically adapts the placement of the application task graph on the network, and an abstraction migration facility that aids such dynamic role assignment. Experimental evaluations show that the API has low overhead, and simulation results show that the role assignment algorithm significantly increases the network lifetime over static placement.
REFERENCES
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