Reliability-based decision fusion scheme for cooperative spectrum sensing

2014 ◽  
Vol 8 (14) ◽  
pp. 2423-2432 ◽  
Author(s):  
Lamiaa Khalid ◽  
Alagan Anpalagan
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Decision Fusion ◽  
Fusion Scheme

scholarly journals A Genetic Algorithm-Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Sajjad Khan ◽  
Noor Gul ◽  
Junsu Kim ◽  
Ijaz Mansoor Qureshi ◽  
Su Min Kim
Keyword(s):  
Genetic Algorithm ◽  
Spectrum Sensing ◽  
Dynamic Spectrum Access ◽  
Cooperative Spectrum Sensing ◽  
Decision Fusion ◽  
Weighting Coefficient ◽  
Soft Decision ◽  
Secondary Users ◽  
Coefficient Vector ◽  
Fusion Scheme

Internet of Things (IoT) is a new challenging paradigm for connecting a variety of heterogeneous networks. Since its introduction, many researchers have been studying how to efficiently exploit and manage spectrum resource for IoT applications. An explosive increase in the number of IoT devices accelerates towards the future-connected society but yields a high system complexity. Cognitive radio (CR) technology is also a promising candidate for future wireless communications. CR via dynamic spectrum access provides opportunities to secondary users (SUs) to access licensed spectrum bands without interfering primary users by performing spectrum sensing before accessing available spectrum bands. However, multipath effects can degrade the sensing capability of an individual SU. Therefore, for more precise sensing, it is helpful to exploit multiple collaborative sensing users. The main problem in cooperative spectrum sensing is the presence of inaccurate sensing information received from the multipath-affected SUs and malicious users at a fusion center (FC). In this paper, we propose a genetic algorithm-based soft decision fusion scheme to determine the optimum weighting coefficient vector against SUs’ sensing information. The weighting coefficient vector is further utilized in a soft decision rule at FC in order to make a global decision. Through extensive simulations, the effectiveness of the proposed scheme is evaluated compared with other conventional schemes.

scholarly journals Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 5777-5786
Author(s):  
Shunchao Zhang ◽  
Yonghua Wang ◽  
Pin Wan ◽  
Jiawei Zhuang ◽  
Yongwei Zhang ◽  
...  
Keyword(s):  
Data Fusion ◽  
Spectrum Sensing ◽  
Clustering Algorithm ◽  
Cooperative Spectrum Sensing ◽  
Fusion Scheme

Efficient Decision Fusion for Cooperative Spectrum Sensing Based on OR-rule

2012 ◽  
Vol 11 (7) ◽  
pp. 2585-2595 ◽  
Author(s):  
Kenta Umebayashi ◽  
Janne J. Lehtomaki ◽  
Takanao Yazawa ◽  
Yasuo Suzuki
Keyword(s):  
Spectrum Sensing ◽  
Cooperative Spectrum Sensing ◽  
Decision Fusion
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