@article { 11570_3115061,
	title = {Implementation of a low cost SDR-based Spectrum Sensing Prototype using USRP and Raspberry Pi board},
	journal = {INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH \& ENGINEERING TECHNOLOGY},
	volume = {20},
	year = {2017},
	pages = {54{\textendash}58},
	abstract = {Our paper presents a low cost experimental prototype for cognitive radio applications, which consists of a radio platform and a host cognitive engine, dedicated essentially to Wireless Sensor Networks (WSN) scenarios. It is carried out using {\textquoteleft}USRP (Universal Software Radio Peripheral) and GNURadio{\textquoteright} Software Defined Radio (SDR) platform, implemented on a single board computer, which is the Raspberry Pi 3 board. We have experienced the Spectrum Sensing mechanism, based upon Energy-Detection approach, due to its low computational complexity, and implementation availability within GNU-Radio environment. The result shows the sensing outputs data obtained by scanning wireless activities in the 2.4 GHz frequency band, necessary for the determination of the spectrum holes.},
	keywords = {Cognitive Radio (CR), Energy Detector(ED), Gnuradio, Raspberry Pi, Software defined Radio (SDR), Spectrum Sensing, USRP},
	url = {http://ipco-co.com/PET_Journal/vol20-ACECS/12.pdf},
	author = {Soumaya, El Barrak and Abdelouahid, Lyhyaoui and Antonio, Puliafito and Salvatore, Serrano}
}
