Estimation of the Wireless Sensor Network Performance using Fractal Behavior of the Generated Cognitive Harmonic Waves

In several domains like geometry and music, a classic kind of discrete pattern comes from similar systems, where the elements of the set are connected in a specific structure. Types of the similarity feature are symmetry with respect to the axis or to the origin, rotation, translation, and scaling. A special group of structure types with similarity character in different natural and artificial systems are fractals. They are set of objects that look similar on different scales. A musical fractal is a piece where the theme harmonizes with a slow down version of itself, that way the small-scale structure of the piece is repeated at a larger scale. Human matter of taste prefers fractal structure in music and is tight sensible to the similarity alteration. This phenomenon is used to evaluate the operating performance of the Wireless Sensor Network (WSN). We present a new method of sensing the WSN behavior based on cognitive generation mechanism of a musical sound signal and we give special features of this algorithm.