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Artificial fish clustering method, storage medium and device in Internet of Vehicles

An artificial fish swarm algorithm and artificial fish swarm technology, applied in the field of Internet of Vehicles, to reduce communication overhead and reduce end-to-end delay.

Inactive Publication Date: 2021-07-20
SOUTHWEST UNIVERSITY FOR NATIONALITIES
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

And the applicable scenarios of these clustering algorithms are mostly straight roads or expressway scenarios, and few clustering algorithms are capable of clustering tasks in complex and changeable intersection scenarios

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  • Artificial fish clustering method, storage medium and device in Internet of Vehicles

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Embodiment Construction

[0045] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046]The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items...

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Abstract

The invention discloses a method for clustering artificial fish swarms in the Internet of Vehicles, a storage medium and a device. The method uses the adaptive value F of the artificial fish swarm algorithm to perform clustering in the Internet of Vehicles. The adaptive value F is determined by the vehicle node degree C and the vehicle node Mobility CR is jointly decided. The invention analyzes the urban intersection environment of the Internet of Vehicles, designs new cluster head evaluation parameters, and proposes a vehicle clustering method based on artificial fish swarms; the method screens out suitable clusters within the network through the behavior of artificial fish. Cluster heads, so as to obtain the optimal number of vehicle clusters; the research results show that compared with the well-known CLPSO algorithm, the method proposed in the present invention can generate fewer vehicle clusters, which means that it can better reduce communication overhead and reduce end-to-end end-to-end delay.

Description

technical field [0001] The invention relates to the field of the Internet of Vehicles, in particular to a method for clustering artificial fish schools in the Internet of Vehicles, a storage medium and a device. Background technique [0002] With the development of intelligent transportation systems, Vehicle Networking (Vehicular Ad Hoc Networks, VANET) as a component of intelligent transportation systems has become a research hotspot in the field of wireless ad hoc networks in recent years. VANET is of great significance to reducing traffic accidents, alleviating road congestion, and meeting various driving needs. Although the Internet of Vehicles is a branch of the mobile ad hoc network, it has characteristics different from the mobile ad hoc network, such as strong vehicle node mobility, frequent network topology changes, intermittent communication links between nodes, regular vehicle movement trajectories, and the influence of road distribution. . The traditional AdHoc...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/40H04W24/02G06N3/00
CPCG06N3/006H04W24/02H04W4/40
Inventor 邵彩幸程风欣
Owner SOUTHWEST UNIVERSITY FOR NATIONALITIES
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