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Efficient distributed information fusion using value of information based censoring

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dc.contributor.author Mu, Beipeng
dc.contributor.author How, Jonathan P.
dc.contributor.author Chowdhary, Girish
dc.date.accessioned 2012-07-27T17:57:13Z
dc.date.available 2012-07-27T17:57:13Z
dc.date.issued 2012-07-27
dc.date.submitted 2012-06
dc.identifier.uri http://hdl.handle.net/1721.1/71875
dc.description.abstract In many distributed sensing applications, not all agents have valuable information at all times. Therefore, requiring all agents to communicate at all times can be resource intensive. In this work, the notion of Value of Information (VoI) is used to improve the efficiency of distributed sensing algorithms. Particularly, only agents with high VoI broadcast their measurements to the network, while others censor their measurements. New VoI realized data fusion algorithms are introduced, and an in depth analysis of the costs incurred by these algorithms and conventional distributed data fusion algorithms is presented. Numerical simulations are used to compare the performance of the VoI realized algorithms with traditional data fusion algorithms. A VoI based algorithm that adaptively adjusts the criterion for being informative is presented and shown to strike a good balance between reduced communication cost and increased accuracy. en_US
dc.description.sponsorship United States. Army Research Office (MURI grant W911NF-11-1-0391) en_US
dc.language.iso en_US
dc.title Efficient distributed information fusion using value of information based censoring en_US
dc.type Technical Report en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics en_US
dc.contributor.department Massachusetts Institute of Technology. Laboratory for Information and Decision Systems en_US
dc.contributor.approver Chowdhary, Girish
dc.contributor.mitauthor Mu, Beipeng
dc.contributor.mitauthor How, Jonathan P.
dc.contributor.mitauthor Chowdhary, Girish


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