DocumentCode
539092
Title
An analysis of data fusion for radiation detection and localization
Author
Liu, A.H. ; Bunn, J.J. ; Chandy, K.M.
Author_Institution
Comput. Sci., California Inst. of Technol., Pasadena, CA, USA
fYear
2010
fDate
26-29 July 2010
Firstpage
1
Lastpage
8
Abstract
This paper explores fundamental relations between critical parameters of distributed sensor networks (DSN) that detect and locate radiation sources. The paper presents mathematical analyses and Monte Carlo methods that help understand fundamental tradeoffs between the time to detect radiation sources, the probabilities of false positives and negatives, system cost, numbers of sensors, locations of sensors, mixes of sensors of different capabilities, benefits of data fusion, and communication load.
Keywords
Monte Carlo methods; radiation detection; sensor fusion; wireless sensor networks; Monte Carlo methods; data fusion analysis; distributed sensor networks; mathematical analyses; radiation detection; radiation localization; Algorithm design and analysis; Detectors; Monte Carlo methods; Photonics; Random variables; Signal to noise ratio; Radiation detection; data fusion; distributed sensor network; sensor density; surveillance; threat identification; threat localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location
Edinburgh
Print_ISBN
978-0-9824438-1-1
Type
conf
DOI
10.1109/ICIF.2010.5711879
Filename
5711879
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