Smart Sensor for the Underwater Communication Signal

Abstract

In underwater communication, the sensors sense the information and send it to the destination nodes. For the efficient working of any networks, the role of sensors is important. Sensors are generally of two type’s primary user and secondary user. During the data transmission, the data or signal loss should be minimum, therefore, it is essential to select a precise sensor. But, there are various issues with the sensors such as sensing failure problems which is one of them. In the underwater communication, sensing failure problems generally occur and affect sensor system performance. In this article, we have discussed the issues related to sensing failure, and hence introduced a smart sensor that detects the communication signal. In the proposed scheme, there are two sensors or detectors; the working nature of detectors depends on the signal-to-noise ratio (SNR) readings. Graphical results confirm that proposed scheme enhances system performance and outperforms the energy detector (ED) and energy detector using adaptive double threshold (ED-ADT-2013), energy detector and Cyclo-2010, adaptive spectrum sensing-2012, energy detection technique for adaptive spectrum sensing-2015, estimated-signal-to-noise ratio-based adaptive threshold detector-2016, eigenvalue moment ratio (EMR) and weighted-covariance-based detection-2018, energy detector and maximum to minimum eigenvalue-2019, and improved-energy detector with cyclostationary detector-2019 by 33.5%, 57.0%, 41.5%, 28.2%, 52.8%, 37.4%, 15.0% and 20.0% at – 12 dB signal-to-noise ratio, respectively.