Cognitive Internet of Vehicles spectrum allocation method based on immune optimization

A spectrum allocation and Internet of Vehicles technology, which is applied in the field of spectrum allocation based on immune optimization for cognitive Internet of Vehicles, can solve problems such as inapplicable Internet of Vehicles, and achieve high throughput of cognitive nodes

Inactive Publication Date: 2018-09-18
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

At present, the spectrum allocation algorithms of traditional cognitive wireless radio networks consider

Method used

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  • Cognitive Internet of Vehicles spectrum allocation method based on immune optimization
  • Cognitive Internet of Vehicles spectrum allocation method based on immune optimization
  • Cognitive Internet of Vehicles spectrum allocation method based on immune optimization

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Experimental program
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Embodiment

[0036] Considering a primary user network based on roadside infrastructure, vehicles moving on the roadside serve as cognitive users, and roadside base stations provide wireless communication spectrum; the spectrum allocation problem of cognitive Internet of Vehicles is simply described as: the nodes of Internet of Vehicles with cognitive functions are in the On the premise of not affecting the communication of the authorized user (primary user), the opportunity to access the licensed spectrum. For cognitive IoV users, spectrum is divided into two types: occupied (unavailable) and available.

[0037] Since the topological structure of users in the Internet of Vehicles is dynamically changing, the following assumptions are made: (1) There are M available spectrums in the spectrum pool. Each channel has the same bandwidth and transmission range and is orthogonal to each other. (2) N vehicle networking nodes are randomly distributed in the scene, and multiple spectrums M can be ...

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Abstract

The invention discloses a cognitive Internet of Vehicles spectrum allocation method based on immune optimization. The method comprises the following steps: step 1, group initialization; step 2, affinity function evaluation; step 3, termination condition judgment; step 4, proportional cloning; step 5, clonal variation Tm; and step 6, clonal selection Ts. For cognitive Internet of Vehicles spectrumallocation, based on a graph theory model, an optimization problem to maximize the cognitive node throughput is modeled and thus a solving algorithm based on the immune optimization is proposed; and amatrix coding mode, an antibody correction mode and proportional cloning and other strategies suitable for spectrum allocation problems are designed to ensure the optimizing ability of the algorithm.A simulation experiment shows that the method provided by the invention can obtain higher cognitive node throughput and is suitable for the spectrum allocation of the cognitive Internet of Vehicles.

Description

technical field [0001] The present invention relates to the field of spectrum allocation for the cognitive Internet of Vehicles, specifically a graph theory-based model, which is modeled as an optimization problem for maximizing the throughput of cognitive nodes, and then proposes a cognitive Internet of Vehicles based on immune optimization spectrum allocation method. Background technique [0002] The Internet of Vehicles is a typical application of the Internet of Things in the transportation field. It is an intelligent network form based on wireless communication for information exchange. It plays an important role in ensuring road safety and efficiency. Spectrum resources are the basis and supporting resources for wireless communication of the Internet of Vehicles, and are of great significance to the wide application of the Internet of Vehicles in the future. With the rapid development of the Internet of Vehicles, the shortage of wireless spectrum resources has become ...

Claims

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Application Information

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IPC IPC(8): H04W16/10H04W16/22
CPCH04W16/10H04W16/22
Inventor 王献荣柴争义麦欢欢李智
Owner HENAN UNIVERSITY OF TECHNOLOGY
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