CRSN Spectrum Sensing Method Based on Cognitive Function and Sensor Node Separation

Abstract

The invention relates to a spectrum sensing method based on cognitive function and sensor node separation in a cognitive radio sensor network, and belongs to the technical field of radio sensor networks. The method separates a cognitive function from sensor nodes in the network. The sensor nodes are only responsible for source sensing, and the cognitive function is moved to the other special nodes called cognitive nodes in the CRSN. The cognitive nodes are responsible for spectrum sensing, and the transmitting power of the sensing nodes is adjusted while the sensing nodes are selected by a continuous discrete binary hybrid particle swarm optimization algorithm, so that energy consumption is minimized on the premise that spectrum sensing meets given sensing performances. The spectrum sensing method based on cognitive function and sensor node separation in the cognitive radio sensor network solves the contradiction between additional energy consumption and the processing requirement of the cognitive function and limited resources of the sensor nodes, and solves the contradiction between high-cost CRSN implementation and the requirement of low-cost implementation.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, and relates to a CRSN spectrum sensing method based on the separation of cognitive functions and sensor nodes. Background technique [0002] Most of the existing WSNs work in unlicensed industrial, scientific, and medical frequency bands (Industrial Scientific Medical, ISM). These public frequency bands are becoming increasingly crowded with the rise of various new wireless communication technologies (such as Wifi, Bluetooth, Wimax, Zigbee, etc.), resulting in increasingly serious interference between various wireless devices working in the ISM frequency band. For example, studies have shown that IEEE 802.11 networks will significantly reduce the performance of 802.15.4 / Zigbee networks when working at the same time. Therefore, the coexistence of heterogeneous wireless communication systems operating in the ISM frequency band has become a bottleneck for the continued development of WSN. ...

AI Technical Summary

Problems solved by technology

On the one hand, all CRSN nodes perform functions such as spectrum sensing and spectrum switching, which greatly consumes the already limited energy and processing capabilities of sensor nodes. However, CRSN sensor nodes have limited processing capabilities and often require multiple sensor nodes to perform collaborative spectrum sensing. Then through the coordinator fusion decision (the interaction process between the cognitive sensor node and the coordinator is cumbersome: node triggering-network coordinator control-node perception-coordinator fusion information judgment, allocation-node receiving channel, sending data), the perception information between them The mutual communication also leads to a large amount of energy consumption

On the other hand, the sensitivity of CR receivers is much higher than that of common sensor nodes, so its production cost is also higher than that of common receivers. Loading a CR receiver on each sensor node obviously greatly increases the recognition rate. The production cost of cognitive sensor nodes increases the design difficulty of low-cost cognitive sensor nodes

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