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This paper presents a new algorithm based on the Jarque-Bera (JB) test for spectrum sensing in cognitive networks subject to Rayleigh fading. In the proposed method, based on JB statistical test, fading that affects the spectral detection is considered. The performance of the method is evaluated, using Monte-Carlo simulations, and compared with the Energy Detector (ED) performance. It is shown that...
Spectrum sensing is an important tool for the expansion of cognitive radio. This paper evaluates the use of statistical tests to optimize the spectral detection of available frequency bands for opportunistic occupation. Statistical characteristics of the transmitted signals over a channel subject to Rice fading are selected to achieve better cognitive sensing performance. More precisely, Jarque-Bera,...
The cognitive radio concept is fostered by the scarcity of frequency bands for wireless communication. Several new techniques and algorithms are being proposed to deal with the spectrum occupancy in cognitive channels. The goal is to enable a better sharing of the frequency spectrum among different users. This paper evaluates the performance of statistical tests to optimize the spectrum sensing for...
Precision Agriculture (PA) is a method for estimating, assessing and controlling agricultural practices. It emerged from the need for technologies to collect and transmitt data in agricultural areas. On the other hand, the evolution of wireless sensor nodes technology enabled the deployment of Wireless Sensor Networks (WSNs) in agricultural environments. The lack of path loss models for predicting...
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