Monitoring Wireless Sensor Network System Based on Classification of Adopted Supervised Growing Neural Gas Algorithm

Wireless sensor network system for monitoring predefined events with adaptation of one popular model of neural networks algorithm - Supervised Growing Neural Gas will be presented. Data reduction, energy savings, detection of dead nodes and event notification over internet are implemented. Architecture of the system allows investigating and comparing proposed algorithm results with Fuzzy ART model of neural network. Real-time measurements of physical data when vehicle is present in the sensed area are used to investigate advantages and disadvantages of neural networks adaptation in WSN based system.

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