CN112351406B - High-throughput vehicle networking roadside unit deployment method, system, medium and application - Google Patents

Abstract

The invention belongs to the technical field of the Internet of Vehicles network under the expressway scene, and discloses a high-throughput Internet of Vehicles roadside unit deployment method, system, medium and application. By optimizing the deployment position of the RSU, the high throughput of the Internet of Vehicles is achieved. The expressway is segmented, and the middle point of each section of the road is used as the candidate deployment point of the RSU. Whenever a new RSU needs to be deployed, the RSU is calculated and deployed at each candidate deployment point by using the vehicle network coverage calculation method proposed by the present invention. network coverage, and place the roadside unit on the candidate deployment point that can maximize the coverage of the Internet of Vehicles, and so on until all RSUs are deployed. The invention proposes a low-complexity and high-efficiency RSU deployment method. When the RSU is deployed next to the expressway, the road is segmented and the data throughput of the vehicle nodes is calculated during the expressway driving, so as to optimize the RSU deployment position and achieve high throughput of the Internet of Vehicles.

Description

Deployment method, system, medium and application of roadside unit for high-throughput Internet of Vehicles

technical field

The invention belongs to the technical field of vehicle networking in expressway scenarios, and in particular relates to a high-throughput vehicle networking roadside unit deployment method, system, medium and application.

Background technique

At present: With the development of intelligent networked vehicles and Internet of Things technology, vehicles are no longer just means of transportation consisting of controllers and actuators. Vehicle-to-vehicle interconnection and vehicle-road coordination have become the best choices to improve the efficiency of automobile travel and reduce the rate of automobile accidents. The Internet of Vehicles composed of Onboard Unit (OBU) and Road Side Unit (RSU) has become the mainstream target of future urban traffic and vehicle upgrades. In the Internet of Vehicles scenario, the movement of vehicles is restricted by the road topology, and the diversity of road structures and the high-speed movement of vehicles have a non-negligible impact on the performance analysis and optimization of the Internet of Vehicles. In the expressway scene, cars move faster and the consequences of accidents are serious. During the deployment of the Internet of Vehicles, it is necessary to increase the network throughput as much as possible to ensure the smooth transmission of information. Therefore, the research on the deployment method of RSU on the expressway is the Internet of Vehicles one of the key issues to be studied.

In the Internet of Vehicles, vehicles move fast and the topology changes frequently. The communication between vehicles may reduce the network throughput due to channel instability. In order to solve this problem, the communication of the Internet of Vehicles requires the assistance of RSUs, that is, RSUs are deployed on the side of the road where the car is driving. When the car sends and receives data, all RSUs are used as relay nodes. The car first sends the information to the nearest RSU, and the information is transmitted between the RSUs. When there are other cars near the RSU, the information is sent to the car. Through the auxiliary transmission of RSU, all cars in the Internet of Vehicles can share information.

The Internet of Vehicles communication adopts the IEEE802.11p protocol, also known as WAVE (Wireless Access in the Vehicular Environment), which is mainly used for dedicated short-range communications (Dedicated Short Range Communications, DSRC). The application level includes high-speed vehicles and vehicles and standard RSU For data exchange between them, the communication frequency is in the 5.9 GHz (5.85-5.925 GHz) band. RSU is expensive and the communication distance is small. An available communication node costs about 150,000 yuan, and the communication range is only about 300 meters. In the long-distance and large-scale Internet of Vehicles communication scenarios such as expressways, it is difficult for RSUs to achieve full coverage. Therefore, how to use a limited number of RSUs to increase the data throughput of Internet of Vehicles as much as possible is a problem that must be solved when the Internet of Vehicles system is implemented. . At present, the common RSU deployment strategy is uniform deployment, that is, RSUs are deployed equidistantly on both sides of the road. This deployment method considers factors such as changes in network topology and vehicle aggregation, which may lead to long-term idleness of RSUs in areas with sparse vehicles, resulting in waste of resources, and the use of RSUs in areas where vehicles are concentrated will cause queuing, data congestion, etc. . The present invention fully considers the factor of vehicle distribution, and realizes the high throughput of the Internet of Vehicles by using fewer RSUs.

So far, there are few literatures that have studied the IoV scenarios on highways.

Through the above analysis, the existing problems and defects of the existing technology are: how to use a limited number of RSUs to increase the data throughput of the Internet of Vehicles as much as possible is a problem that must be solved when the Internet of Vehicles system is implemented.

The difficulty of solving the above problems and defects is: the highway distance is long, the traditional uniform deployment method is expensive to deploy RSU, and due to factors such as the accumulation of vehicles that may occur in the pits on the highway, the RSU may be idle for a long time in areas with sparse vehicles. It causes a waste of resources, and the use of RSU in areas where vehicles gather produces phenomena such as queuing and data congestion.

The significance of solving the above problems and defects is: through the reasonable deployment of RSUs, fewer RSUs can be used to achieve higher data throughput of the Internet of Vehicles, reduce the deployment cost of the Internet of Vehicles, and increase the data throughput of the Internet of Vehicles.

Contents of the invention

Aiming at the problems existing in the prior art, the present invention provides a method, system, medium and application for deploying roadside units in a high-throughput Internet of Vehicles.

The present invention is achieved in this way, a high-throughput vehicle network roadside unit deployment method, the high-throughput vehicle network roadside unit deployment method achieves high throughput of the vehicle network by optimizing the deployment position of the RSU, and the expressway Carry out segmentation, use the middle point of each road as the candidate deployment point of RSU, whenever a new RSU needs to be deployed, use the vehicle networking coverage calculation method proposed by the present invention to calculate the network coverage of RSU deployed at each candidate deployment point rate, and place the roadside unit on the candidate deployment point that can maximize the coverage of the Internet of Vehicles, and so on until all RSUs are deployed.

Further, the deployment method of the high-throughput Internet of Vehicles roadside unit includes the following steps:

In the first step, take the starting point of the expressway as the origin, the central divider as the x-axis, and establish a coordinate system that is perpendicular to the x-axis and passes through the coordinate origin as the y-axis;

The second step is to divide the expressway where roadside units need to be deployed into road sections;

The third step is to use the middle point of the central divider of each road as the optional deployment point of the roadside unit;

The fourth step is to set the vector. When the roadside unit is placed at the deployment point, the vector is initialized to a zero vector;

The fifth step, when a roadside unit needs to be deployed, calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where no roadside unit has been placed;

The sixth step is to compare the total throughput of the Internet of Vehicles when the roadside unit is placed at each candidate deployment point where the roadside unit has not been placed, and place the roadside unit at the candidate deployment point that can maximize the total throughput of the Internet of Vehicles superior;

Step 7: If there are still roadside units to be deployed, skip to When a roadside unit needs to be deployed, calculate the total amount Throughput to continue deploying the next RSU until all RSUs are deployed.

Further, the first step quantifies each parameter in the scene by establishing a rectangular coordinate system, with the starting point of the expressway as the origin, the central divider as the x-axis, and a straight line perpendicular to the x-axis and passing through the origin of the coordinates as the y-axis to establish a coordinate system , the starting coordinates of the i-th expressway are represented by (s _i ,0), and the starting coordinates of the i+1-th expressway are represented by (s _i+1 ,0).

Further, in the second step, the expressway that needs to be deployed with roadside units is divided into N sections on average, and the distance of each section is represented by d, and the speed of the expressway of the i section is represented by _v , and the width of the one-way expressway Use l to express.

Further, in the third step, the middle point of the central divider of each section of the road is used as a candidate deployment point of the roadside unit, and there are N deployment points in total.

Further, the fourth step sets the vector e=(e ₁ , e ₂ ...e _n ,...,e _N ), when the roadside unit is placed at the deployment point of the nth road section, e _n =1, Otherwise e _n =0, the vector e is initialized as a zero vector.

Further, in the fifth step, when a roadside unit needs to be deployed, respectively calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where the roadside unit has not been placed, and the throughput calculation formula is as follows:

where P is the transmit power of the roadside unit, h is the channel gain, t is the integral variable, β is the noise, _j0 is the number of the road section to which the roadside unit closest to the user’s vehicle belongs, and x _j0 is the roadside closest to the car The abscissa of the unit, α is the path attenuation index of the signal, I is the interference generated by the roadside unit other than the user’s nearest roadside unit to the user, and the calculation process of I is as follows:

Among them, j is the road section number where the roadside unit has been placed, and x _j is the abscissa of the roadside unit on the jth road section.

Another object of the present invention is to provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor performs the following steps:

By optimizing the deployment position of the RSU to achieve high throughput of the Internet of Vehicles, the expressway is segmented, and the middle point of each section of the road is used as a candidate deployment point for the RSU. Whenever a new RSU needs to be deployed, the proposed method of the present invention is used The vehicle network coverage calculation method calculates the network coverage of RSUs deployed at each candidate deployment point, and places the roadside unit at the candidate deployment point that can maximize the vehicle network coverage, and so on until all RSUs are deployed.

Another object of the present invention is to provide a high-throughput Internet of Vehicles roadside unit deployment system that implements the high-throughput Internet of Vehicles roadside unit deployment method, and the high-throughput Internet of Vehicles roadside unit deployment system includes:

The coordinate system establishment module is used to establish a coordinate system with the starting point of the expressway as the origin, the central divider as the x-axis, and a straight line perpendicular to the x-axis and passing through the coordinate origin as the y-axis;

The road section division module is used to divide the average road section of the expressway where the roadside unit needs to be deployed;

An optional deployment point module, which is used to use the middle point of each road median as an optional deployment point for roadside units;

The vector setting module is used to set the vector, and when the roadside unit is placed at the deployment point, the vector is initialized to a zero vector;

The total throughput calculation module is used to calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where the roadside unit has not yet been placed when a roadside unit needs to be deployed;

The total throughput comparison module is used to compare the total throughput of the Internet of Vehicles when the roadside unit is respectively placed at each candidate deployment point where the roadside unit has not been placed, and the roadside unit is placed in a location that maximizes the total throughput of the Internet of Vehicles on the candidate deployment point;

All roadside unit deployment modules are used to realize that if there are still roadside units to be deployed, jump to when a roadside unit needs to be deployed, respectively calculate the placement of the roadside unit in different candidate deployments that have not yet placed roadside units The total throughput of the Internet of Vehicles at a certain point will continue to deploy the next roadside unit until all roadside units are deployed.

Another object of the present invention is to provide an IoV terminal equipped with the high-throughput IOV roadside unit deployment system.

Combining all the above-mentioned technical solutions, the advantages and positive effects of the present invention are: the present invention achieves high throughput of the Internet of Vehicles by optimizing the deployment position of the RSU. The expressway is segmented, and the middle point of each section of the highway is used as a candidate deployment point for RSU. Whenever a new RSU needs to be deployed, use the vehicle network coverage calculation method proposed by the present invention to calculate the network coverage of the RSUs deployed at each candidate deployment point, and place the roadside unit at a location that can maximize the vehicle network coverage. On the candidate deployment points, the cycle is repeated until all RSUs are deployed. Among them, the calculation method of the network throughput and the selection method of the RSU deployment point are the core of the present invention. The present invention is applicable to the Internet of Vehicles in the expressway scene, and can realize high data throughput of the Internet of Vehicles. Aiming at the characteristics of long vehicle networking distance, few RSU nodes, fast vehicle speed, and frequent topology changes in the expressway scene, the present invention proposes a low-complexity and efficient RSU deployment method. When the RSU is deployed next to the expressway, the road is segmented and the data throughput of the vehicle nodes is calculated during the expressway driving, so as to optimize the RSU deployment position and achieve high throughput of the Internet of Vehicles.

According to the actual requirements of the expressway Internet of Vehicles scene, the present invention designs an RSU deployment method suitable for expressways in view of the characteristics of long distance, few nodes, fast vehicle speed, and frequent topology changes in the scene. The present invention has low implementation complexity, divides the expressway into sections, and the middle point of each section is a candidate deployment node of RSU. Only need to calculate the formula (1) to get the throughput of the whole network when the RSU is deployed on one node, so that the optimal deployment position of the RSU can be obtained with a small number of calculations. The present invention realizes the high throughput of the whole network by optimizing the throughput of each RSU.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings required in the embodiments of the present application. Obviously, the accompanying drawings described below are only some embodiments of the present application. Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

Fig. 1 is a flow chart of a method for deploying a high-throughput Internet of Vehicles roadside unit provided by an embodiment of the present invention.

FIG. 2 is a schematic structural diagram of a high-throughput Internet of Vehicles roadside unit deployment system provided by an embodiment of the present invention;

In Figure 2: 1. Coordinate system establishment module; 2. Road section division module; 3. Optional deployment point module; 4. Vector setting module; 5. Total throughput calculation module; 6. Total throughput comparison module; 7. All Roadside unit deployment module.

Fig. 3 is a schematic diagram of a mathematical model provided by an embodiment of the present invention.

Fig. 4 is a schematic diagram of a scene provided by an embodiment of the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

Aiming at the problems existing in the prior art, the present invention provides a high-throughput Internet of Vehicles roadside unit deployment method, system, medium and application. The present invention will be described in detail below with reference to the accompanying drawings.

As shown in Figure 1, the high-throughput Internet of Vehicles roadside unit deployment method provided by the present invention includes the following steps:

S101: Take the starting point of the expressway as the origin, the central divider as the x-axis, and establish a coordinate system perpendicular to the x-axis and passing through the coordinate origin as the y-axis;

S102: Divide the expressways where roadside units need to be deployed into road sections equally;

S103: Use the middle point of the central divider of each section of road as an optional deployment point for roadside units;

S104: Set the vector, when the roadside unit is placed at the deployment point, initialize the vector to a zero vector;

S105: When a roadside unit needs to be deployed, respectively calculate the total throughput of the Internet of Vehicles when the roadside unit is placed at different candidate deployment points where no roadside unit has been placed;

S106: Comparing the total throughput of the Internet of Vehicles when the roadside unit is placed at each candidate deployment point where the roadside unit has not been placed, and placing the roadside unit on the candidate deployment point that can maximize the total throughput of the Internet of Vehicles;

S107: If there are still roadside units to be deployed, skip to when a roadside unit needs to be deployed, respectively calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where the roadside unit has not yet been placed Continue to deploy the next roadside unit until all roadside units are deployed.

Ordinary technicians in the industry can also implement the high-throughput Internet of Vehicles roadside unit deployment method provided by the present invention by using other steps, and the high-throughput Internet of Vehicles roadside unit deployment method provided by the present invention in Figure 1 is only a specific embodiment That's all.

As shown in Figure 2, the high-throughput IoV roadside unit deployment system provided by the present invention includes:

The coordinate system establishment module 1 is used to establish a coordinate system with the starting point of the expressway as the origin, the central divider as the x-axis, and a straight line perpendicular to the x-axis and passing through the coordinate origin as the y-axis;

The section division module 2 is used to divide the average section of the expressway where the roadside unit needs to be deployed;

Optional deployment point module 3, which is used to use the middle point of the median strip of each section of road as an optional deployment point for roadside units;

The vector setting module 4 is used to set the vector, and when the roadside unit is placed at the deployment point, the vector is initialized to a zero vector;

The total throughput calculation module 5 is used to calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where the roadside unit has not yet been placed when a roadside unit needs to be deployed;

The total throughput comparison module 6 is used to compare the total throughput of the Internet of Vehicles when the roadside unit is respectively placed at each candidate deployment point where the roadside unit has not been placed, and the roadside unit is placed in a position that can make the total throughput of the Internet of Vehicles on the largest candidate deployment point;

All roadside unit deployment module 7 is used to realize that if there are roadside units that need to be deployed, then jump to when a roadside unit needs to be deployed, respectively calculate the placement of the roadside unit in different candidates for roadside units that have not yet been placed The total throughput of the Internet of Vehicles at the deployment point continues to deploy the next roadside unit until all roadside units are deployed.

The technical scheme of the present invention will be further described below in conjunction with the accompanying drawings.

The present invention uses the schematic diagram of the mathematical model of the Internet of Vehicles on the expressway shown in FIG. 3 to illustrate the specific implementation of the present invention. When one or more RSUs need to be deployed, the RSU deployment method of the present invention is used to deploy them on the roadside of the expressway.

As shown in Figure 3, the one-way width of the expressway of the present invention is 1, wherein, described " RSU deployment method " specifically comprises the following steps:

Step 1: Quantify each parameter in the scene by establishing a Cartesian coordinate system. As shown in Figure 3, the starting point of the expressway is taken as the origin, the central divider is the x-axis, and the straight line perpendicular to the x-axis and passing through the origin of the coordinates is established as the y-axis In the coordinate system, the starting coordinates of the i-th expressway are represented by (s _i , 0), and the starting coordinates of the i+1-th expressway are represented by (s _i+1 , 0);

Step 2: Divide the expressway where the roadside unit needs to be deployed into N sections on average, the distance of each section is represented by d, the speed of the expressway in the i-th section is represented by v _i , and the width of the one-way expressway is represented by l;

Step 3: Take the middle point of the central divider of each section of road as the candidate deployment point of the roadside unit, and there are N deployment points in total;

Step 4: Set the vector e=(e ₁ ,e ₂ ...e _n ,...,e _N ), when the roadside unit is placed at the deployment point of the nth road section, e _n =1, otherwise e _n = 0, the vector e is initialized to a zero vector;

Step 5: When a roadside unit needs to be deployed, calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where the roadside unit has not yet been placed. The throughput calculation formula is as follows:

where P is the transmit power of the roadside unit, h is the channel gain, t is the integral variable, β is the noise, _j0 is the number of the road section to which the roadside unit closest to the user’s vehicle belongs, and x _j0 is the roadside closest to the car The abscissa of the unit, α is the path attenuation index of the signal, I is the interference generated by the roadside unit other than the user’s nearest roadside unit to the user, and the calculation process of I is as follows:

Among them, j is the road section number where the roadside unit has been placed, and _xj is the abscissa of the roadside unit on the jth road section;

Step 6: After each RSU is deployed to a candidate deployment point, the throughput of the Internet of Vehicles can be calculated according to the formula (3) (4), and the roadside unit is placed in each candidate deployment where the roadside unit has not been placed. Point the total throughput of the Internet of Vehicles, and place the roadside unit on the candidate deployment point that can maximize the total throughput of the Internet of Vehicles;

Step 7: If there are still roadside units to be deployed, skip to step 5 to continue deploying the next roadside unit until all roadside units are deployed;

Step Eight: End.

It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in memory and executed by a suitable instruction execution system such as a microprocessor or specially designed hardware. Those of ordinary skill in the art will understand that the above-described devices and methods can be implemented using computer-executable instructions and/or contained in processor control code, for example, on a carrier medium such as a magnetic disk, CD or DVD-ROM, such as a read-only memory Such code is provided on a programmable memory (firmware) or on a data carrier such as an optical or electronic signal carrier. The device and its modules of the present invention may be implemented by hardware circuits such as VLSI or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., It can also be realized by software executed by various types of processors, or by a combination of the above-mentioned hardware circuits and software such as firmware.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone familiar with the technical field within the technical scope disclosed in the present invention, whoever is within the spirit and principles of the present invention Any modifications, equivalent replacements and improvements made within shall fall within the protection scope of the present invention.

Claims (7)

1. A high-throughput method for deploying a roadside unit of the Internet of Vehicles, characterized in that, the method for deploying a roadside unit for the high-throughput Internet of Vehicles comprises the following steps: In the first step, take the starting point of the expressway as the origin, the central divider as the x-axis, and establish a coordinate system that is perpendicular to the x-axis and passes through the coordinate origin as the y-axis; The second step is to divide the expressway where roadside units need to be deployed into road sections; The third step is to use the middle point of the central divider of each road as the optional deployment point of the roadside unit; The fourth step is to set the vector. When the roadside unit is placed at the deployment point, the vector is initialized to a zero vector; The fifth step, when a roadside unit needs to be deployed, calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where no roadside unit has been placed; The sixth step is to compare the total throughput of the Internet of Vehicles when the roadside unit is placed at each candidate deployment point where the roadside unit has not been placed, and place the roadside unit at the candidate deployment point that can maximize the total throughput of the Internet of Vehicles superior; Step 7: If there are still roadside units to be deployed, skip to When a roadside unit needs to be deployed, calculate the total amount Throughput to continue to deploy the next roadside unit until all roadside units are deployed; The first step is to quantify each parameter in the scene by establishing a rectangular coordinate system, with the starting point of the expressway as the origin, the central divider as the x-axis, and a straight line perpendicular to the x-axis and passing through the origin of the coordinates as the y-axis to establish a coordinate system. The starting coordinates of the expressway section i are represented by (s _i , 0), and the starting coordinates of the expressway section i+1 are represented by (s _i+1 , 0); In the second step, the expressways that need to deploy roadside units are divided into N sections on average, the distance of each section is represented by d, the speed of the expressway of the i section is represented by _v , and the width of the one-way expressway is l express. 2. The method for deploying roadside units in the high-throughput Internet of Vehicles as claimed in claim 1, wherein in the third step, the middle point of each section of highway median is used as a candidate deployment point for roadside units, and there are N deployment point. 3. The method for deploying roadside units in the high-throughput Internet of Vehicles as claimed in claim 2, characterized in that, the fourth step sets vector e=(e ₁ , e ₂ ... e _n , ..., e _N ), when the roadside unit is placed at the deployment point of the nth road section, _en = 1, otherwise _en = 0, and the vector e is initialized as a zero vector. 4. The method for deploying roadside units in the high-throughput Internet of Vehicles as claimed in claim 3, characterized in that, in the fifth step, when a roadside unit needs to be deployed, calculate and place the roadside unit in different The total throughput of the Internet of Vehicles when the candidate deployment point of the roadside unit is placed, the throughput calculation formula is as follows:

Among them, P is the transmission power of the roadside unit, h is the channel gain, t is the integral variable, β _{is the noise, j0} is the number of the road section to which the roadside unit closest to the user's vehicle belongs,

is the abscissa of the roadside unit closest to the car, α is the path attenuation index of the signal, I is the interference to the user from the roadside unit other than the nearest roadside unit to the user, and the calculation process of I is as follows:

Among them, j is the road section number where the roadside unit has been placed, and x _j is the abscissa of the roadside unit on the jth road section. 5. A computer-readable storage medium, storing a computer program, when the computer program is executed by a processor, the processor executes the deployment of the high-throughput Internet of Vehicles roadside unit described in any one of claims 1-4 method steps. 6. A high-throughput Internet of Vehicles roadside unit deployment system implementing the high-throughput Internet of Vehicles roadside unit deployment method according to any one of claims 1 to 4, wherein the high-throughput Internet of Vehicles roadside unit deployment system is characterized in that the high-throughput Internet of Vehicles roadside The cell deployment system includes: The coordinate system establishment module is used to establish a coordinate system with the starting point of the expressway as the origin, the central divider as the x-axis, and a straight line perpendicular to the x-axis and passing through the coordinate origin as the y-axis; The road section division module is used to divide the average road section of the expressway where the roadside unit needs to be deployed; An optional deployment point module, which is used to use the middle point of each road median as an optional deployment point for roadside units; The vector setting module is used to set the vector, and when the roadside unit is placed at the deployment point, the vector is initialized to a zero vector; The total throughput calculation module is used to calculate the total throughput of the Internet of Vehicles when the roadside unit is placed in different candidate deployment points where the roadside unit has not yet been placed when a roadside unit needs to be deployed; The total throughput comparison module is used to compare the total throughput of the Internet of Vehicles when the roadside unit is respectively placed at each candidate deployment point where the roadside unit has not been placed, and the roadside unit is placed in a location that maximizes the total throughput of the Internet of Vehicles on the candidate deployment point; All roadside unit deployment modules are used to realize that if there are still roadside units to be deployed, jump to when a roadside unit needs to be deployed, respectively calculate the placement of the roadside unit in different candidate deployments that have not yet placed roadside units The total throughput of the Internet of Vehicles at a certain point will continue to deploy the next roadside unit until all roadside units are deployed. 7. An Internet of Vehicles terminal, characterized in that the Internet of Vehicles terminal is equipped with the high-throughput Internet of Vehicles roadside unit deployment system according to claim 6.

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