Cognitive Internet of vehicles spectrum sensing method based on cooperated node election and FCM algorithm

Abstract

The invention discloses a cognitive Internet of vehicles spectrum sensing method based on cooperated node election and an FCM algorithm. The method comprises the following steps of sending the communication request sent by cognizing vehicles to a road side unit; determining the quantity of the vehicles participating in the cooperation according to the vehicle flow density and vehicle distances; selecting the cognizing vehicle by the road side unit by using the vehicle position and relevance between vehicles for cooperated spectrum sensing; performing spectrum sensing on the elected cognizing vehicles by using an energy detection method; using an FCM algorithm for clustering the cognizing vehicle detection statistic quantity; obtaining the clustering center and membership degree matrix; when the detected statistic quantity membership degree difference value is greater than one threshold value, performing local judgment; performing weighing fusion judgment by the road side unit on the basis of the cooperated node position and the relevancy; judging whether a main user exists or not. The cooperated vehicles are selected according to the vehicle position and relevancy between the vehicles; the spectrum sensing accuracy is ensured; the expenditure is reduced; by considering the vehicle position moving, priori information such as signal-to-noise ratio is not needed; the detection performance is improved.

Description

technical field [0001] The present invention relates to the technical field of cognitive radio and vehicular ad hoc network, in particular to a cognitive vehicle networking spectrum sensing method based on cooperative node selection and FCM algorithm. Background technique [0002] With the advancement of society, the rapid development of the automobile industry, and the continuous increase in the number of automobiles, it is necessary to provide high-speed, low-latency, and highly reliable communications for vehicles to ensure traffic safety and improve traffic efficiency. Vehicular Ad-hoc Networks (Vehicle Ad-hoc Networks , VANET) came into being, mainly including V2V (Vehicle to Vehicle) and V2I (Vehicle to Infrastructure) two communication methods. As a symbol of a new smart city, the Internet of Vehicles has attracted more and more people's attention, and it is a research hotspot in the field of intelligent transportation systems. [0003] However, with the increase of ...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing vehicle-mounted frequency bands cannot meet the needs of vehicle-mounted communication. Considering factors such as path loss, shadow effect, and vehicle movement, a cognitive vehicle network spectrum sensing method based on cooperative node selection and FCM algorithm is proposed. Select the vehicle nodes participating in cooperative sensing to ensure the accuracy of spectrum sensing while saving costs, use the energy detection technology based on the FCM algorithm for spectrum sensing, adaptive local judgment, without prior information such as signal-to-noise ratio, and improve detection performance

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