Fog Computing-Based Social Vehicle Networking Dual-mode Interest Tag Forwarding System and Method

A tag forwarding and social car technology, applied in the field of social vehicle networking dual-mode interest tag forwarding system, can solve problems such as inability to comprehensively consider encounter node information, single prediction probability calculation, limit forwarding success rate, etc., to ensure the correct transmission rate, Improve the success rate of forwarding and improve the effect of forwarding efficiency

Active Publication Date: 2022-06-28
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prediction probability calculation of this scheme is single, and the information of the encountered nodes cannot be fully considered. The accuracy of prediction limits the success rate of forwarding

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fog Computing-Based Social Vehicle Networking Dual-mode Interest Tag Forwarding System and Method
  • Fog Computing-Based Social Vehicle Networking Dual-mode Interest Tag Forwarding System and Method
  • Fog Computing-Based Social Vehicle Networking Dual-mode Interest Tag Forwarding System and Method

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0034] refer to Figure 2 to Figure 4, provides a dual-mode interest tag forwarding system for social vehicle networking based on fog computing. The system includes: fog server, RSU, and three types of entities that carry interested vehicle nodes; RSU establishes communication with all vehicle nodes that enter its coverage area. , when the number of vehicle nodes entering its coverage area is greater than the preset value, RSU collects interest to generate interest tags and sends them to the corresponding vehicle nodes; RSU also updates interest tags according to the real-time traffic flow information in its coverage area; fog The server establishes communication with the RSUs in its coverage area, and generates a corresponding interest ranking for each interest for each RSU according to the interest tags of all RSUs in the system, and the interest ranking is updated regularly; the degree of cooperation between them;

[0035] In order to understand this solution in line with ...

no. 2 example

[0103] A dual-mode forwarding process of a dual-mode interest tag forwarding system for social vehicle networking based on fog computing is provided, including initialization, updating RSU interest tags, message forwarding and node buffer management. Specific steps are as follows:

[0104] (1) Initialization:

[0105] The RSU is in the public area (RSU is not assigned an interest tag) stage. At time period t, the vehicle V i Comes within RSU(i) communication range. If V i The first time you enter RSU(i), create a new user in RSU(i) to register information.

[0106] (2) Update the RSU interest tag:

[0107] The vehicle enters the RSU broadcast range, and the RSU registers the entering vehicle. When the total number of vehicles within the broadcast range reaches the set number, the RSU interest tag is assigned. Considering the high mobility and topological complexity of vehicles, the interest properties of RSU need to be updated conditionally. For specific updates, refer...

no. 3 example

[0122] refer to Figure 5 to Figure 10 , using the opportunistic network simulation simulator (one) to compare this scheme with the existing PRIF, PRoPHET and Epidemic schemes under the POI motion model. The specific simulation results are as follows:

[0123] The comparison parameters include: (1) message arrival rate: the ratio of the total number of messages successfully reaching the target node to the total number of messages created by the node within a given simulation time (excluding duplicate messages); (2) overhead rate: the total number of relayed messages The ratio of the total number of messages that successfully reach the target node reflects the cost of forwarding the message to the target node; (3) Average hops: the average hops to successfully reach the target node, reflecting the relay nodes that the message needs to pass through to forward to the target node (4) Average waiting time: record the average time from the creation of the message to the successful ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a dual-mode interest tag forwarding system and method based on fog computing for social networking of vehicles. The invention adopts a forwarding strategy of dual-mode interest tags. Compared with the traditional scheme, the influence of external factors on the selection of forwarding vehicle nodes based on personal interest is reduced; when the message is V2R forwarded, the interest tag of RSU is obtained through fog computing, The interest ranking of each interest is calculated according to the interest label, and finally according to the interest ranking, several RSUs are selected to forward the message, which improves the forwarding efficiency between RSU and RSU, and also ensures the correct delivery rate of the message. Moreover, the present invention adopts the forwarding strategy of the dual-mode interest tag, which reduces the network congestion caused by the message being only transmitted between vehicles to a certain extent, improves the adaptability to the dynamic environment, and can provide more stable communication.

Description

technical field [0001] The invention relates to the technical field of social vehicle networking, in particular to a dual-mode interest tag forwarding system and method for social vehicle networking based on fog computing. Background technique [0002] In-vehicle applications and multimedia devices generally require networking to send or obtain data, update data, and activate high-quality functional modules. Considering the high mobility and topological complexity of vehicles, researchers proposed Vehicle Ad-Hoc Networks (VANETs). [0003] To solve the problem of data distribution in mobile device networks, Mobile Social Networks (MSNs) have emerged. In the network, nodes corresponding to mobile devices can be carried by humans, which results in nodes exhibiting different social characteristics and social relationships. But social functions only express the node's own attributes, such as age and gender, and limited information makes it difficult to meet users' needs. A ty...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/021H04W4/06H04W4/40H04W24/02H04W28/02H04W40/04
CPCH04W4/021H04W4/06H04W4/40H04W24/02H04W28/0289H04W40/04
Inventor 夏卓群毛潇潇谷科曾令轩
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap