Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks

Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks G T Bharathy V Rajendran S Bhavanisankari V Balaji Abstract
The key confront for a cognitive radio network is to identify the presence of primary users consistently so as to curtail the intrusion to license approved communications. Consequently, sensing of spectrum is a main significant requisite of a cognitive network. Nevertheless, because of the ambiguity in the channel, local interpretations don’t provide a trustworthy solution and therefore collaboration is needed between the users. Collaborative spectrum sensing is a competent scheme to enhance the spectrum utility in wireless networks, which utilizes cooperation between multiple nodes to prevail over the inadequacy of single-node to improve the performance of detection. In this paper, a detailed investigation, simulation and comparative analysis of collaborative scheme for sensing the spectrum of cognitive networks based on Gini Index test metrics is done and the results are compared with various other detecting schemes. The simulation is accomplished by means of Matlab R2014 software. 07 01 2021 022014 http://dx.doi.org/10.1088/crossmark-policy iopscience.iop.org Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks Journal of Physics: Conference Series paper Published under licence by IOP Publishing Ltd http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining 10.1088/1742-6596/1964/2/022014 https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022014 https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022014/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022014/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022014 https://iopscience.iop.org/article/10.1088/1742-6596/1964/2/022014/pdf 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), Zhuhai Liu 10.1109/ICNSC.2018.8361371 2018 1 Weighted Gini index feature selection method for imbalanced data Computers & Electrical Engineering Lemes 10.1016/j.compeleceng.2020.106692 85 2020 System-to-distribution parameter mapping for the Gini index detector test statistic via artificial neural networks Information Sciences Goswami 462 16 2018 10.1016/j.ins.2018.05.044 Sparsity measure of a network graph: Gini index Zhu 2015 10.1155/2015/352761 Collaborative Wireless Sensor Networks and Applications Guimarães 2018 Gini Index Detector (GID) for collaborative spectrum sensing Bharathy 10.1109/ICSSS49621.2020.9202296 2020 1 Bharathy 10.1007/978-981-15-8677-4_39 Research and Development in the Networks of Cognitive Radio: A Survey Haykin 2004 Proakis 2001 Rappaport 2000 Thangalakshmi 10.20894/IJMSR.117.007.001.002 9 2015 Review of Cognitive Radio Network Thangalakshmi Matched Filter Detection Based Spectrum Sensing In Cognitive Radio Networks Guimarães 2019 Arshad 10.1155/2010/424036 20 Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore Manna 10.1109/ICACCI.2013.6637160 2013 137 Collaborative spectrum sensing in real cognitive radio network Arshad 10.1109/ICCW.2009.5208032 1 2009 Computer Communications Sasabe 147 1 2019 10.1016/j.comcom.2019.08.012 Collaborative spectrum sensing mechanism based on user incentive in cognitive radio networks Arshad 10.1155/2010/424036 2010 Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks Physical Communication Akyildiz 4 40 2011 10.1016/j.phycom.2010.12.003 Cooperative spectrum sensing in cognitive radio networks: A survey Ganesan 10.1109/DYSPAN.2005.1542628 137 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Xue 13 1832 10.1109/TWC.2014.022714.130351 Cooperative Spectrum Sensing in Cognitive RadioNetworks Using Multidimensional Correlations Meena 10.1080/03772063.2019.1672585 2019 Spectrum Sensing and Resource Allocation for Proficient Transmission in Cognitive Radio with 5G Bharathy 98 594 2020 International Journal of Engineering & Technology Meena 7 231 2018 10.14419/ijet.v7i2.33.13893 Modeling of cognitive radio system for the improvement of spectrum utilization