Adaptive power spectral estimation using distributed wireless sensor networks

In this paper, we propose three different algorithms capable of facing spatio-temporal variations for parametric modeling and power spectral density (PSD) estimation using Wireless Sensor Networks (WSNs). To do this, we first validate the proposed algorithms using theoretical and mathematical formulations. Afterwards, employing simulation tasks supports the results. In the next compartment of the paper to illustrate the concepts, we analyze and compare the performance of these algorithms with each other and with simple PSD estimation using individual sensors, wherein there is no cooperation.