  Fluctuation enhanced sensing (FES) is a promising method to improve the
selectivity and sensitivity of semiconductor and nanotechnology gas sensors.
Most measurement setups include high cost signal conditioning and data
acquisition units as well as intensive data processing. However, there are
attempts to reduce the cost and energy consumption of the hardware and to find
efficient processing methods for low cost wireless solutions. In our paper we
propose highly efficient signal processing methods to analyze the power
spectral density of fluctuations. These support the development of
ultra-low-power intelligent fluctuation enhanced wireless sensor nodes while
several further applications are also possible.
