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Comparison of Event Detection Methods for Centralized Sensor NetworksThe development of an Integrated Vehicle Health Management (IVHM) for space vehicles has become a great concern. Smart Sensor Networks is one of the promising technologies that are catching a lot of attention. In this paper, we propose to a qualitative comparison of several local event (hot spot) detection algorithms in centralized redundant sensor networks. The algorithms are compared regarding their ability to locate and evaluate the event under noise and sensor failures. The purpose of this study is to check if the ratio performance/computational power of the Mote Fuzzy Validation and Fusion algorithm is relevant compare to simpler methods.
Document ID
20060019233
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Sauvageon, Julien
(California Univ. Berkeley, CA, United States)
Agogiono, Alice M.
(California Univ. Berkeley, CA, United States)
Farhang, Ali
(QSS Group, Inc. Moffett Field, CA, United States)
Tumer, Irem Y.
(QSS Group, Inc. Moffett Field, CA, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2006
Subject Category
Mechanical Engineering
Meeting Information
Meeting: IEEE Sensors Application Symposium
Location: Houston, TX
Country: United States
Start Date: February 7, 2006
End Date: February 9, 2006
Sponsors: Institute of Electrical and Electronics Engineers
Distribution Limits
Public
Copyright
Public Use Permitted.
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