Abstract
Cognitive radio is a promising technology for its ability to overcome the insufficiency of available spectrums, and spectrum sensing is an important issue in cognitive radio research. Due to its ability to increase the reliability of sensing results and imitate hidden node problems, sensor cooperation in spectrum sensing has gained much attention. However, conventional cooperative method is usually resource inefficient for involving too many sensors. A novel iterative cooperative sensing method is proposed, which minimizes the quantity of cooperating sensors and resource consumption while satisfying the constraint of a given sensing accuracy. The simulation results show that our method can guarantee the target probability of detection and probability of false alarm and minimize the number of the sensors involved and resource consumed.
Abstract
Cognitive radio is a promising technology for its ability to overcome the insufficiency of available spectrums, and spectrum sensing is an important issue in cognitive radio research. Due to its ability to increase the reliability of sensing results and imitate hidden node problems, sensor cooperation in spectrum sensing has gained much attention. However, conventional cooperative method is usually resource inefficient for involving too many sensors. A novel iterative cooperative sensing method is proposed, which minimizes the quantity of cooperating sensors and resource consumption while satisfying the constraint of a given sensing accuracy. The simulation results show that our method can guarantee the target probability of detection and probability of false alarm and minimize the number of the sensors involved and resource consumed.
Open Access
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