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

Yi Li | Zendy; Jun Peng | Zendy; Fu Jiang | Zendy; Kaiyang Liu | Zendy; Xiaoyong Zhang | Zendy

Open Access

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

Author(s) -

Yi Li,

Jun Peng,

Fu Jiang,

Kaiyang Liu,

Xiaoyong Zhang

Publication year - 2015

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2015.p0197

Subject(s) - computer science , cognitive radio , false alarm , transmission (telecommunications) , efficient energy use , probabilistic logic , energy (signal processing) , data transmission , wireless sensor network , optimization problem , real time computing , fusion center , mathematical optimization , algorithm , wireless , telecommunications , artificial intelligence , computer network , statistics , mathematics , electrical engineering , engineering

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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