Internet-of-vehicles backoff method and device based on sender packet loss distinguishing mechanism

A technology for packet loss differentiation and car networking, applied in the field of car networking, can solve problems such as increasing additional network overhead and poor channel stability, and achieve the effects of adapting to environmental changes, improving accuracy, and improving system performance.

Active Publication Date: 2019-11-15
INNER MONGOLIA UNIVERSITY
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problem of poor channel stability of the existing IoV backoff method, repeated exchange of data, and additional network overhead, the present invention provides an IOV backoff method and device based on a packet loss discrimination mechanism of the sender

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
  • Internet-of-vehicles backoff method and device based on sender packet loss distinguishing mechanism
  • Internet-of-vehicles backoff method and device based on sender packet loss distinguishing mechanism
  • Internet-of-vehicles backoff method and device based on sender packet loss distinguishing mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] see figure 1 , figure 2 as well as image 3 , this embodiment provides a vehicle networking back-off method based on the sender packet loss discrimination mechanism, which can be applied in the vehicle networking environment based on the IEEE802.11 protocol. Wherein, the vehicle networking avoidance method includes the following steps (steps 1-4).

[0106] Step 1. According to the vehicle speed, dynamically adjust the observation interval so that the vehicle speed and the observation interval change inversely, and take the average value of the current observation interval and the last observation interval as the number of surrounding nodes. The traditional traffic density detection method is to calculate the number of surrounding nodes periodically by receiving information such as MAC addresses and GPS messages in broadcast frames in a circle with the vehicle as the center and the transmission range as the radius. The core of the algorithm is to record the MAC addre...

Embodiment 2

[0162] This embodiment provides a vehicle networking back-off method based on the packet loss discrimination mechanism of the sender, which is similar to the method in Embodiment 1, except that the model and the calculation method of the probability of packet loss due to collision are different. In this embodiment, in the unicast mode, the method for calculating the probability of packet loss due to collision includes the following steps.

[0163] (2.1) Establish a two-dimensional Markov chain model; see Figure 9 , where the two-dimensional stochastic process of the two-dimensional Markov chain model is {s(t),b(t)}. Among them, s(t) represents the backoff series (0,...,m) of the node at time t, and m is the maximum backoff series. b(t) represents the waiting time in the backoff process at time t. This embodiment adds the situation that the backoff window is not updated. When the data frame fails to be sent through the channel, the probability is p f , the backoff order mai...

Embodiment 3

[0195] This embodiment provides a vehicle networking back-off method based on the senders packet loss discrimination mechanism, which performs simulation analysis on the basis of Embodiment 2, and sets relevant parameters.

[0196] , in order to verify the accuracy of the collision probability prediction model under error channel conditions, this embodiment uses the MATLAB simulation tool to perform Monte-Carlo statistical simulation. Among them, IEEE 802.11p link simulation (including transmitter, receiver and channel model) adopts WLAN System Toolbox 2.0 simulation toolbox, which was added for the first time in the 2015b version, providing models and examples for WLAN design, simulation and testing , relying on the digital computing capability of MATLAB, it provides a complete transceiver model and channel modeling that conform to the 802.11 protocol standard. The specific channel coding, modulation methods (OFDM, DSSS and CCK) and MIMO beamforming are packaged with special ...

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 an Internet-of-vehicles backoff method and a device based on a sender packet loss distinguishing mechanism, and the method comprises the steps: dynamically adjusting an observation interval according to the speed of a vehicle, so as to enable the observation interval to be inversely proportional to the speed of the vehicle, and taking an average value of the observation interval at this time and the observation interval at the last time as the number of surrounding nodes; firstly, constructing a collision probability prediction model and a weak signal packet loss probability model under an error channel, and then calculating a collision packet loss probability and a weak signal packet loss probability; connecting points with equal collision packet loss probability and weak signal packet loss probability into a packet loss distinguishing curve, comparing coordinate points representing the number of surrounding nodes and the signal-to-noise ratio when the previousframe of data is sent with the packet loss distinguishing curve, and distinguishing the packet loss type of the previous frame of data; and sending the data according to the packet loss type of the previous frame of data. The packet loss judgment accuracy is high, the throughput is improved, the network delay is reduced, the channel stability is ensured, and the method is suitable for scenes withdifferent vehicle densities.

Description

technical field [0001] The present invention relates to a vehicle networking backoff method in the technical field of vehicle networking, in particular to a vehicle networking backoff method based on a sender packet loss discrimination mechanism, and also relates to a vehicle network backoff based on a sender packet loss discrimination mechanism of the method device. Background technique [0002] The Internet of Vehicles is an important branch of the Internet of Things. It can provide drivers with road condition assistance information, including warnings of vehicles coming from blind spots, and changes in the acceleration of front and rear vehicles in the same lane. These information can effectively avoid traffic accidents. At present, the Internet of Vehicles is mainly a network that realizes the connection between vehicles and other things, including the realization of all aspects of interconnection between vehicles and other vehicles, vehicles and road infrastructure, and...

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): H04W4/02H04W4/46H04W24/06H04W74/08H04B17/391
CPCH04B17/3912H04B17/3913H04W4/027H04W4/46H04W24/06H04W74/085
Inventor 王树彬杜京涛
Owner INNER MONGOLIA UNIVERSITY
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