Cooperative Spectrum Sensing Optimization Algorithm Based on Maximum Energy Efficiency

2015 ◽  
Vol 12 (16) ◽  
pp. 6121-6130
Author(s):  
Jingmin Tang
Keyword(s):  
Energy Efficiency ◽  
Spectrum Sensing ◽  
Optimization Algorithm ◽  
Cooperative Spectrum Sensing ◽  
Maximum Energy

scholarly journals Energy Efficiency Under Double Deck Relay Assistance on Cluster Cooperative Spectrum Sensing in Hybrid Spectrum Sharing

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 41298-41308 ◽  
Author(s):  
Seleman Daudi Arthur Nkalango ◽  
Hui Zhao ◽  
Yuxin Song ◽  
Tianqi Zhang
Keyword(s):  
Energy Efficiency ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Cooperative Spectrum Sensing

Joint Spectrum Sensing and Data Transmission Optimization for Energy Efficiency in Cognitive Radio Sensor Networks: A Dynamic Cooperative Method

2015 ◽  
Vol 19 (2) ◽  
pp. 197-204 ◽  
Author(s):  
Yi Li ◽  
◽  
Jun Peng ◽  
Fu Jiang ◽  
Kaiyang Liu ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Spectrum Sensing ◽  
Data Transmission ◽  
Cooperative Spectrum Sensing ◽  
Optimization Method ◽  
Joint Optimization ◽  
Transmission Scheme ◽  
Cognitive Radio Sensor Networks

To address the inherent energy constraint in cognitive radio sensor networks, a novel joint optimization method of spectrum sensing and data transmission for energy efficiency is investigated in this paper. To begin with, a cooperative spectrum sensing scheme based on dynamic censoring is employed to shorten sensing time and save unnecessary spectrum sensing energy. Then to jointly optimize the energy efficiency, the distortion constrained probabilistic transmission scheme is utilized. Afterwards the sensing threshold solving issue can be formulated as a nonlinear minmax optimization problem with the detection probability and false alarm probability constraints. Solving by the Matlab software with the free OPTI toolbox, simulation results demonstrate that significant energy can be saved via the the proposed joint optimization method in various mobile cloud scenarios.

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