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Sensor Actor Network Modeling utilizing the Holonic Architectural FrameworkDOI: 10.2478/v10177-010-0006-3 Keywords: Extended Kohonen Maps (EKM), Sensor Actor Networks (SANET), Wireless Sensor Networks (WSN), SANET Middleware, POE Classification Model, Holonic Architecture Abstract: 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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