Quantitative cooperative spectrum sensing method based on energy effectiveness analysis

Abstract

The invention discloses a quantitative cooperative spectrum sensing method based on energy effectiveness analysis. The method comprises the following steps: firstly, a sensor node performs data acquisition on a monitored target frequency band in a frequency spectrum sensing stage, and establishes a binary hypothesis model and energy-based measurement statistics; then, the sensor node performs quantification processing on the measurement statistics and sends to a sink node, the sink node establishes final judgment statistics and fusion judgment criteria, the average energy consumption conditionof the frequency spectrum monitoring sensor network in a periodic frame is analyzed in combination with a fusion judgment result, and when a target frequency band is idle, the throughput of the sensor node for transmitting data through the frequency band is calculated; and finally, an energy effectiveness measure is constructed, an optimization model about the energy effectiveness is established,the optimal parameter of the model is solved, and data transmission is performed on the optimal parameter by the spectrum monitoring sensor network. Under the condition that energy and a control channel are limited, the network performance of the spectrum monitoring sensor network is improved to the maximum extent.

Description

technical field [0001] The present invention relates to the technical field of cooperative spectrum sensing, in particular to a quantitative cooperative spectrum sensing method based on energy efficiency analysis. Background technique [0002] Cooperative spectrum sensing is one of the core technologies of spectrum monitoring sensor network, and it is an important way for wireless sensor network to survive and apply in the field of spectrum monitoring. The cooperative spectrum sensing method based on the sensor network is based on the establishment of the electromagnetic environment perception model, and makes full use of the data fusion between the sensors to conduct in-depth analysis of the sensing target. It can classify and filter target signals, and can also quickly and accurately locate various target signals, and mine useful battlefield situation information through the fusion and processing of multi-source perception data. In addition, the battery energy of wireless...

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Problems solved by technology

[0003]How to optimize the performance parameters of cooperative spectrum sensing under the condition of limited energy, such as sensing time, transmission power, detection threshold, etc., the number of nodes, etc., the current relevant There are few studies, and the current methods generally have the following problems: first, the considered application scenarios are relatively ideal, such as sensing nodes distributed in a small area, and the received power level values ​​are the same; second, describe the performance constraints of cooperative spectrum sensing Incomplete, such as only limiting the detection probability, without considering the limitation of the control channel bandwidth; third, rarely considering the impact of the number of sensing nodes on the performance of cooperative spectrum sensing, which greatly limits the application range of cooperative spectrum sensing technology

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