A Cognitive Spectrum Allocation Method for Internet of Vehicles at Intersections Based on Clustering Structure
A technology for cognitive spectrum and spectrum allocation, which is applied in the field of cognitive spectrum allocation for the Internet of Vehicles at intersections based on a clustering structure, and can solve the problems that safety messages cannot be transmitted in a timely manner in the Internet of Vehicles, the lack of spectrum resources for the Internet of Vehicles, and the lack of fixed spectrum allocation. Reasonableness etc.
Active Publication Date: 2020-12-18
XIAN UNIV OF TECH
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[0008] The purpose of the present invention is to provide a cognitive spectrum allocation method for the Internet of Vehicles at an intersection based on a clustering structure, which solves the lack of spectrum resources in the Internet of Vehicles and the occurrence of traffic jams caused by unreasonable fixed spectrum allocation in the prior art. The problem that security messages in the Internet of Vehicles cannot be transmitted in time
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[0185] (1) Inter-cluster allocation
[0186] Such as figure 2 As shown, the number of spectrum obtained by authorized users and cluster-head nodes in different cognitive cells under the two allocation schemes based on intersection state priority pricing and average allocation is compared with the actual demand. figure 2 It can be seen that, using the priority pricing allocation algorithm based on the intersection state, cluster-head nodes with different priorities obtain different spectrum numbers. It is in line with the condition that there is a large demand for spectrum in a cell with traffic congestion. From the figure, it can be seen that the number of spectrum obtained by each cell, that is, the cluster head node, is positively correlated with the priority of the priority pricing allocation scheme based on the intersection state, which is not much different from the actual spectrum demand. Spectrum resources; under the average allocation plan, the spectrum obtained by ...
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The invention discloses a cognitive frequency spectrum allocation mechanism for the Internet of Vehicles at an intersection based on a clustering structure, which includes the following steps: judging the network load state according to the current network load state and the minimum rate requirements of various services; when the network load state reaches When overloaded or super overloaded, the cognitive spectrum mechanism is activated, and the spectrum allocation algorithm based on the priority pricing of the intersection state is firstly used for inter-cluster spectrum allocation; then the spectrum allocation algorithm for inter-cluster spectrum is optimized by using the balanced price spectrum allocation algorithm based on message priority Intra-cluster spectrum allocation of each cluster head after allocation. The present invention solves the problem of lack of frequency spectrum resources in the Internet of Vehicles caused by the unreasonable allocation of fixed frequency spectrum in the place with high traffic pressure at the intersection, and the problem that the safety information in the Internet of Vehicles cannot be transmitted in time when traffic jams occur, and improves the Spectrum revenue and spectrum utilization rate reduce traffic congestion, and the algorithm is simple, with strong practicability and applicability.
Description
technical field [0001] The invention belongs to the technical field of cognitive spectrum allocation of the Internet of Vehicles, and relates to a cognitive spectrum allocation method of the Internet of Vehicles at an intersection based on a clustering structure. Background technique [0002] Internet of Vehicles (IoV) is an important foundation of Intelligent Transportation System (Intelligent Transportation System, ITS), an important part of building a future smart city, and a hot spot in wireless communication network research. The Internet of Vehicles mainly connects various vehicles through the network to realize the detection, transmission and sharing of vehicle information, and provides great information support for applications such as vehicle alarms, driving route planning, and vehicle positioning. At present, the most common applications of the Internet of Vehicles are collision detection, electronic road signs, traffic light warnings, and vehicle diagnosis. These ...
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IPC IPC(8): H04B17/382H04W4/40H04W72/04H04W72/10
CPCH04B17/382H04W4/40H04W72/0453H04W72/52H04W72/56
Inventor 樊秀梅薛玲玲
Owner XIAN UNIV OF TECH