Self-adaptive routing method oriented to highway Internet-of-Vehicles scene

A technology of Internet of Vehicles and highways, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as waste of transmission time, many idle channels, and high requirements for network topology stability, so as to improve delivery rate, The effect of reducing the delay time

Inactive Publication Date: 2018-01-30
TIANJIN UNIVERSITY OF TECHNOLOGY
View PDF2 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] To sum up, the traditional routing algorithm has the following problems: 1) It has high requirements for the stability of the network topology, and it is difficult to apply it to a network with drastic topology changes like VANETs; 2) It is only applicable to specific Scenario; 3) There are many idle channels occupied, which wastes transmission time, and when the number of sending nodes increases and the amount of data sent is large, it is difficult to ensure the reliability of data packet transmission

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
  • Self-adaptive routing method oriented to highway Internet-of-Vehicles scene
  • Self-adaptive routing method oriented to highway Internet-of-Vehicles scene
  • Self-adaptive routing method oriented to highway Internet-of-Vehicles scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The given examples are only used to explain the present invention, not to limit the present invention.

[0030] In order to describe the RAR routing algorithm more clearly, this embodiment extracts two-level scenarios based on real traffic environments. Based on this scenario, we extract models such as figure 2 shown. There are two traffic flows in the model, where Lane 1 Located on the lower level, Lane 2 Located on the upper floor. The width of the street is much smaller than the transmission range, so that the road can be considered linear. We are in Lane i The jth node of the V i,j , where j is an integer. Without loss of generality, we have node V along 1,0 The direction of flow flow is used as a reference to establish a one-dimensiona...

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 provides a self-adaptive routing method oriented to a highway Internet-of-Vehicles scene. Owing to the high-speed moving of vehicle-mounted ad hoc network nodes, a network topology changes frequently, and a transmission path is very prone to interrupt, thus the routing efficiency is decreased. The self-adaptive routing method comprises the steps of: acquiring an optimal forwarding node through calculating distance of the nodes, analyzing situations of link status among the nodes and conditions of next-hop effective node density; and proposing a new connection probability calculating method according to a distance between a parameter node and a nearest node thereof. The self-adaptive routing method adopts a greedy opportunity forwarding (GOF) algorithm for designing routes, the greedy opportunity forwarding (GOF) algorithm shows good effects in terms of delivery ratio, average hop count, end-to-end time delay and the like when compared with the traditional greedy perimeterstateless routing algorithm (GPSR) and a self-adaptive link perception beaconless forwarding algorithm (SLBF), and the performance of the Internet-of-Vehicles is improved (wherein the delivery ratiois increased by 10%, the average hop count is decreased by 20%, and the end-to-end time delay is shortened by 10%).

Description

【Technical field】 [0001] The invention belongs to the technical field of combining computer application and Internet of Vehicles. 【Background technique】 [0002] With the continuous development of communication technology, Vehicular Ad hoc Networks (VANETs) has become a vital part of the design of intelligent transportation systems. In intelligent transportation systems, VANETs can realize many safety and non-safety applications. Compared with traditional MANETs nodes, vehicle nodes in VANETs have powerful computing and storage capabilities, and do not need to consider energy issues. However, its motion direction and speed are greatly affected by the specific environment, and its topology changes show different characteristics in different scenarios. The communication links between nodes are frequently broken, making the communication between nodes extremely unreliable. As an important part of VANETs, ​​routing protocols are a crucial part of realizing intelligent transpor...

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 Applications(China)
IPC IPC(8): H04L12/24H04L12/26H04L12/721H04L12/727H04L12/733H04L12/751H04L12/761H04L45/02H04L45/121H04L45/122H04L45/16
Inventor 张德干张婷刘晓欢崔玉亚牛红莉
Owner TIANJIN UNIVERSITY OF 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