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Sensor Actor Network Modeling utilizing the Holonic Architectural Framework

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This paper discusses the results of utilizing advanced EKM modeling techniques to manage Sensor-Actor networks (SANETs) based upon the Holonic Architectural Framework. EKMs allow a quantitative analysis of an algorithmic artificial neural network process by using an indirect-mapping EKM to self-organize from a given input space to administer SANET routing and clustering functions with a control parameter space. Results demonstrate that in comparison to linear approximation techniques, indirect mapping with EKMs provide fluid control and feedback mechanisms by operating in a continuous sensory control space – thus enabling interactive detection and optimization of events in real-time environments.
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  • Faculty of Engineering & IT, University of Technology, Sydney, Australia
Bibliografia
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bwmeta1.element.baztech-article-BWA1-0041-0006
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