MichaelScherer-InformationFusionWirelssSensorNetworks

MichaelScherer-InformationFusionWirelssSensorNetworks -...

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Information Fusion for Wireless Sensor Networks: Methods, Models, and Classifications Presentation By: Michael Scherer Paper By: EDUARDO F. NAKAMURA, ANTONIO A. F. LOUREIRO, ALEJANDRO C. FRERY
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Outline Definitions Basic Concepts Inference Methods Estimation Methods Feature Maps Example Applications of Sensor Fusion
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What is Information Fusion? the theory, techniques and tools created and applied to exploit the synergy in the information acquired from multiple sources (sensor, databases, information gathered by humans, etc.) in such a way that the resulting decision or action is in some sense better (qualitatively or quantitatively, in terms of accuracy, robustness, etc.) than would be possible if any of these sources were used individually without such synergy exploitation” Dasarathy 2001
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Multisensor Integration? “is the synergistic use of information provided by multiple sensory devices to assist in the accomplishment of a task by a system; and multisensor fusion deals with the combination of different sources of sensory information into one representational format during any stage in the integration process.” Luo 2002
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How do all these work together? [1] Nakamura, Loureiro, Frery
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What is a WSN WSN stands for Wireless Sensor Network Graph of sensor nodes which work cooperatively to give feedback on an environment
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Important Factors Complementary: Two different sources are combined to give information about a broader environment [1] Nakamura, Loureiro, Frery
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MichaelScherer-InformationFusionWirelssSensorNetworks -...

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