Correlated SNR and double threshold based energy conservation in cognitive radio wireless sensor networks

In this work various techniques are proposed to reduce the energy consumption in Cognitive Radio Wireless Sensor Networks (CRWSNs) and hence enhance the network life-time of CRWSNs. We propose CRWSNs network life-time can be improved by using concept of correlated signal-to-noise ratio (SNR) and on-demand spectrum sensing with double threshold based energy-detector. It is analytical and intuitively explained that energy in densely deployed CRWSNs can be conserved by using double threshold energy-detector and limiting sensing activity to few sensors which participate in spectrum sensing and pass the decision to neighboring sensors with little compromise in performance degradation. The sensing decision of current sensing node can be used because of the correlated SNR values hence little difference in probability of detection and probability of false alarm values.