Open AccessGini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks
Author(s) -
G. T. Bharathy,
V. Rajendran,
S. Bhavanisankari,
V. Balaji
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1964/2/022014
Subject(s) - cognitive radio , computer science , key (lock) , metric (unit) , node (physics) , ambiguity , ranking (information retrieval) , scheme (mathematics) , computer network , wireless , data mining , artificial intelligence , computer security , telecommunications , engineering , mathematics , mathematical analysis , operations management , structural engineering , programming language
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.