Efficient distributed information fusion using value of information based censoring
Name
Beipeng_CDC_VOI_DSPACE.pdf
Description
Efficient Distributed Information Fusion using\\ Value of Information based Censoring
Size
629.03 KB
Format
Adobe PDF
Checksum (MD5)
3ed8d5256865fa29d0d898ab898df853
Author(s)
Mu, Beipeng
How, Jonathan P.
Chowdhary, Girish
Date Issued
July 27, 2012
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.
MIT Department
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Persistent DSpace Link
