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Joint sensing time and fusion rule threshold optimization for energy efficient CSS in cognitive radio sensor networks
Author(s) -
Sharma Girraj,
Sharma Ritu
Publication year - 2018
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3820
Subject(s) - cognitive radio , computer science , energy (signal processing) , fusion rules , fusion , joint (building) , transmission (telecommunications) , power (physics) , point (geometry) , real time computing , telecommunications , algorithm , mathematical optimization , wireless , artificial intelligence , mathematics , statistics , physics , architectural engineering , linguistics , philosophy , image (mathematics) , geometry , quantum mechanics , engineering , image fusion
Summary Energy resources become precious when the secondary users (SUs) in cognitive radio (CR) network are battery operated, especially in cooperative spectrum sensing (CSS). So it becomes important to use their energy efficiently. In CSS, the number of cooperative users, fusion rule threshold, transmission power, and sensing time affects the energy efficiency (EE) of the CSS. In this paper, an iterative algorithm is proposed to determine joint optimal fusion rule threshold and sensing time that maximizes the EE of CSS. Results show that EE is maximum at optimum sensing duration τ s 0 = 0.841 ms and fusion rule threshold k 0 = 4 at SNR = −18 dB. Maximum EE at optimal point is ξ max = 3.15 bits/Hz/J.