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Dynamic data fusion for future sensor networks
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Source 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
Authors
Umakishore Ramachandran  Georgia Institute of Technology, Atlanta, Georgia
Rajnish Kumar  Georgia Institute of Technology, Atlanta, Georgia
Matthew Wolenetz  Georgia Institute of Technology, Atlanta, Georgia
Brian Cooper  Georgia Institute of Technology, Atlanta, Georgia
Bikash Agarwalla  Georgia Institute of Technology, Atlanta, Georgia
Junsuk Shin  Georgia Institute of Technology, Atlanta, Georgia
Phillip Hutto  Georgia Institute of Technology, Atlanta, Georgia
Arnab Paul  Georgia Institute of Technology, Atlanta, Georgia
Publisher
ACM  New York, NY, USA
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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Umakishore Ramachandran: colleagues
Rajnish Kumar: colleagues
Matthew Wolenetz: colleagues
Brian Cooper: colleagues
Bikash Agarwalla: colleagues
Junsuk Shin: colleagues
Phillip Hutto: colleagues
Arnab Paul: colleagues