Car networking road-side unit deployment method based on genetic algorithm

A technology of roadside unit and genetic algorithm, applied in the field of mobile communication, can solve the problem of high deployment cost of roadside unit

Inactive Publication Date: 2015-09-02
DALIAN UNIV OF TECH
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Problems solved by technology

However, in the initial stage of the vehicle self-organizing network, the cost of roadside unit deployment is high, so a limited number of roadside units need to be optimally placed in a given area to achieve the goal of optimal deployment efficiency

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  • Car networking road-side unit deployment method based on genetic algorithm
  • Car networking road-side unit deployment method based on genetic algorithm
  • Car networking road-side unit deployment method based on genetic algorithm

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Embodiment Construction

[0034] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0035] The following is a genetic algorithm-based roadside unit deployment method for the Internet of Vehicles, such as figure 1 As shown, follow the steps below to deploy roadside units:

[0036] Step 1. Build a road network model

[0037] Assume that the road network is represented by a road network model G(V,E), the intersection set V represents the collection of all intersections, and the road section set E represents the collection of all road sections. At the same time, the road network model G(V,E) expresses a road section e as e(v h ,v t , f t , f w ), where v h is the starting p...

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Abstract

The present invention discloses a car networking road-side unit deployment method based on a genetic algorithm, and aims to maximize the deployment benefit of the road-side units. The method comprises the steps of establishing a road network model firstly, wherein the road network model can describe the curved road sections; and then comprehensively considering the factors as the weights to determine a deployment benefit function, and establishing a benefit model, wherein the road network model and the benefit model form a road-side unit deployment problem model jointly and transform a road-side unit deployment problem into a search optimal solution problem; and finally, utilize the genetic algorithm to carry out the optimization solution on the search optimal solution problem. According to the method, the approximate optimal positions of a plurality of road-side unit deployment problems can be found out and can approach the target of the optimal deployment benefit.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and designs a method for deploying roadside units of the Internet of Vehicles based on a genetic algorithm. This method is different from the existing methods in that it uses the roadside unit deployment problem model to transform the roadside unit deployment problem into a search optimal solution problem, and uses the genetic algorithm to optimize and solve the roadside unit deployment problem. This method can gradually approach the optimal deployment benefit to achieve the goal of maximizing the deployment benefit of roadside units. Background technique [0002] Vehicle ad hoc network is the application of traditional mobile ad hoc network on traffic roads, and it is a special mobile ad hoc network. Through vehicle-to-vehicle (V2V), vehicle-to-roadside infrastructure (V2I) direct communication or multi-hop communication, a self-organizing, dynamic, and distributed information netw...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/24
Inventor 高振国朱涵陈炳才姚念民卢志茂谭国真曲殿阁余超
Owner DALIAN UNIV OF TECH
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