Abstract
The principle of sensing and sending information applies to all kinds of communications in different media like air, water, etc. During data transmission through sensors, the most important issue is sensing failure problems. In communication systems, sensing failure problems generally occur and affect sensor system performance. In this study, sensing failure issues are discussed, and a smart sensor is introduced that detects the communication signals. The characteristics of these sensors are identified with signal-to-noise ratio (SNR) readings. The proposed sensor system has high performance and it is better than many systems in the literature. Graphical findings show that the suggested scheme increases device efficiency and has more performance than the energy detector (ED) and ED-ADT-2013 by 33.5%, adaptive spectrum sensing (ASS)-2012 by 41.5%, energy detecting technique for adaptive spectrum sensing (EDT-ASS)-2015 by 28.2%, energy detector, and cyclo-2010 by 57.0%, and energy-SNR adaptive threshold (ADT) detector-2016 by 52.8% at −12 dB SNR, respectively. The proposed sensor detection scheme performs well compared to other existing sensors regarding sensing time. It was found that cooperative spectrum sensing (CSS) with the proposed method outperforms HwQ-2012 and CSS-EDT-ASS-2015 by 22.70% and 16.10% in terms of probability at −12 dB SNR, respectively, and detects the signal at −19.70 dB SNR.
Highlights
Scientists are developing different sensors with sensing technologies to enhance the identification efficiency of communication networks
The hypothesis test helps to determine the signals from primary user (PU)
(H1 ), the PU signal is expected to be in a noisy channel, and this channel consists of additive white (H1), the PU signal is expected to be in a noisy channel, and this channel consists of additive white
Summary
Scientists are developing different sensors with sensing technologies to enhance the identification efficiency of communication networks. The researchers focused on measurement or sensing time, applying the technique of adaptive spectrum sensing (ASS-2012), [3,4]. The researchers predicted failure problems in detection [6] and subsequently proposed a spectrum detector. This spectrum detector is composed of two sensor detectors. The study is the assumption that that the detectors use adaptive thresholds to reduce. The originality originalityininthis this study is the assumption the detectors use adaptive thresholds to the “sensing failure problem”. Simulation suggest that by using two levels of “confused regionregion system”, the deployed detector modelmodel will boost tests suggest that by using two levels of “confused system”, the deployed detector will detection efficiency and it will take time to decide if the frequency band is busy or free.
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