The paper presents an energy efficient solution based on wireless sensor networks for monitoring of the environment by traffic control. The algorithm is based on Fuzzy ART model of neural networks. Our system provides high dimensionality reduction when sending only the classified data and transferring only the new data in given time series. In this way, the system can be very energy efficient for monitoring of not frequent events.
The system is based on MicaZ sensor motes and adapted Fuzzy ART model. Efficiency is very high when there are no changes in the sensed data from the motes. Experimental results and analyze when the system was applied in the real-time environments are presented. Model of the system that can be used in ecology for environment monitoring also is presented in this paper.