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Performance Evaluation Modeling of Network SensorsSubstantial benefits are promised by operating many spatially separated sensors collectively. Such systems are envisioned to consist of sensor nodes that are connected by a communications network. A simulation tool is being developed to evaluate the performance of networked sensor systems, incorporating such metrics as target detection probabilities, false alarms rates, and classification confusion probabilities. The tool will be used to determine configuration impacts associated with such aspects as spatial laydown, and mixture of different types of sensors (acoustic, seismic, imaging, magnetic, RF, etc.), and fusion architecture. The QualNet discrete-event simulation environment serves as the underlying basis for model development and execution. This platform is recognized for its capabilities in efficiently simulating networking among mobile entities that communicate via wireless media. We are extending QualNet's communications modeling constructs to capture the sensing aspects of multi-target sensing (analogous to multiple access communications), unimodal multi-sensing (broadcast), and multi-modal sensing (multiple channels and correlated transmissions). Methods are also being developed for modeling the sensor signal sources (transmitters), signal propagation through the media, and sensors (receivers) that are consistent with the discrete event paradigm needed for performance determination of sensor network systems. This work is supported under the Microsensors Technical Area of the Army Research Laboratory (ARL) Advanced Sensors Collaborative Technology Alliance.
Document ID
20100017718
Acquisition Source
Jet Propulsion Laboratory
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Clare, Loren P.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Jennings, Esther H.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Gao, Jay L.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
March 18, 2003
Publication Information
Publication: 2003 IEEE Aerospace Conference Proceedings
Volume: 3
Subject Category
Systems Analysis And Operations Research
Report/Patent Number
IEEEAC Paper 1372
Distribution Limits
Public
Copyright
Other
Keywords
probability of detection
discrete event simulation
sensor modeling
data fusion

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