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dc.contributor.authorMu, Beipeng
dc.contributor.authorHow, Jonathan P.
dc.contributor.authorChowdhary, Girish
dc.date.accessioned2012-07-27T17:57:13Z
dc.date.available2012-07-27T17:57:13Z
dc.date.issued2012-07-27
dc.date.submitted2012-06
dc.identifier.urihttp://hdl.handle.net/1721.1/71875
dc.description.abstractIn 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.sponsorshipUnited States. Army Research Office (MURI grant W911NF-11-1-0391)en_US
dc.language.isoen_US
dc.titleEfficient distributed information fusion using value of information based censoringen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentMassachusetts Institute of Technology. Dept. of Aeronautics and Astronauticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.approverChowdhary, Girish
dc.contributor.mitauthorMu, Beipeng
dc.contributor.mitauthorHow, Jonathan P.
dc.contributor.mitauthorChowdhary, Girish


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