Cognitive wireless sensor network spectrum detection method based on node information

Abstract

The invention provides a cognitive wireless sensor network spectrum detection method based on node information, namely, a method for efficiently detecting spectrum through a proposed chunking algorithm and a twice-detection mechanism based on sensor node geographical information, so as to improve the detection performance of a CRSN system and improve the energy efficiency of the system. The specific scheme of the invention comprises the following steps: a primary detection mode pre-embedding scheme is designed, and a monitoring area is partitioned based on node geographical location information; a PU (Primary User) is quickly perceived through primary detection, and whether a SU (Secondary User) can quickly access a channel or whether the system needs to enter a secondary detection process can be judged; a FC (Fusion Center) calculates a secondary detection area, the PU is perceived by a more reliable detection method during secondary detection; and data is fused and the state of the PU is judged in order to determine whether the SU can access a channel. By adopting the method of the invention, the detection accuracy and high performance of CRSN can be ensured, and the energy consumption of the network can be reduced.

Description

technical field [0001] The invention designs a method based on the geographical information of sensor nodes, through the proposed block algorithm and two detection mechanisms to efficiently perform dynamic spectrum detection, improve the detection performance of cognitive wireless sensor networks and improve the energy efficiency of the system, belonging to cognitive radio networks and Sensor network cross technology application field. Background technique [0002] Cognitive radio (CR), as an intelligent radio technology, was proposed at the end of the 20th century to promote the effective use of spectrum resources. CR technology realizes Dynamic Spectrum Access (DSA) instead of Static Spectrum Access (SCA), makes reasonable use of spectrum resources, and alleviates the shortage of spectrum resources. [0003] Due to the good development prospect of cognitive radio technology, CR technology has already appeared in some devices. For example, cognitive techniques have been u...

AI Technical Summary

Problems solved by technology

The perceptual sensitivity of cyclostationary feature detection is better than that of energy detection, and better detection performance can be obtained in the environment of low signal-to-noise ratio, but the computational complexity of this method is high

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