Implementing time series identification methodology using wireless sensor networks

Wireless sensor networks being a collection of numerous sensor nodes, each with sensing (temperature, humidity, sound level, light intensity, magnetism, etc.) and wireless communication capabilities, provide huge opportunities for monitoring and mathematical modeling of the time-evolution of the physical quantities under investigation. Starting from the measurements collected by the sensor nodes inside an investigated spatial distributed system, this paper offers an efficient methodology to identify time series.

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