Transmitting method and transmitting system based on risk assessment

A technology of risk assessment and transmission method, applied in the direction of electrical components, wireless communication, etc., can solve the problem of not being able to predict the link risk well, not considering the link harm, and not being able to guide the sensor routing well.

Active Publication Date: 2013-10-09
TSINGHUA UNIV
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing technology does not take into account the possible changes of the link over time and space and the possible harm caused by these changes, so that the risks brought by the dynamics of the link cannot be well predicted, and thus the sensor cannot be well guided Routing is performed, and the risk of multi-hop transmission on unreliable links cannot be avoided, and the success rate of data collection by the base station is not high

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
  • Transmitting method and transmitting system based on risk assessment
  • Transmitting method and transmitting system based on risk assessment
  • Transmitting method and transmitting system based on risk assessment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] Such asfigure 1 As shown, the embodiment of the present invention provides a transmission method based on risk assessment, including the following steps:

[0064] S1. Establish a cross-layer transmission model;

[0065] S2. Fine-grained definition of network risk events at each layer in the cross-layer transmission model;

[0066] S3. Combining the Bayesian network with the fine-grained defined cross-layer transmission model, calculating a routing index through an event tree analysis method, and guiding the sensor nodes to select a route through the routing index.

[0067] In the embodiment of the present invention, by establishing a cross-layer transmission model, the risk events that may be encountered by each node in the network are fine-grained, and combined with the Bayesian network, the calculated link dynamic risk is used as a routing index to guide the sensor. Routing is performed to avoid the risk of multi-hop transmission on unreliable links and improve the s...

Embodiment 2

[0112] Such as Figure 7 As shown, the present invention also provides a transmission system based on risk assessment, comprising the following modules:

[0113] Transfer model modules across layers;

[0114] A fine-grained definition module, which fine-grained defines the network risk events of each node in the cross-layer transmission model;

[0115] The calculation routing index module combines the Bayesian network with the fine-grained defined cross-layer transmission model, calculates the routing index through the event tree analysis method, and guides the sensor nodes to perform routing selection through the routing index.

[0116] The cross-layer transmission model includes a low-power MAC module, a link estimation module, a routing engine module, and a multi-hop forwarding engine module, and also includes a network information measurement and exchange module. Statistics on cyber risk events;

[0117] in,

[0118] The network information measurement and exchange mod...

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 transmitting method and transmitting system based on risk assessment and relates to the technical field of wireless networks. The method comprises the following steps that S1, a cross-layer transmission model is established; S2, fine-grained definition is conducted on network risk events of each layer in the cross-layer transmission model; S3, a Bayesian network is combined with the cross-layer transmission model after the fine-grained definition, a route index is obtained through calculation by means of event tree analysis, and a sensor node is guided by the route index to conduct route selection. The method further comprises the step that distributed type error repair is conducted on the route index. According to the transmitting method and transmitting system based on risk assessment, the risk brought by the dynamic performance of a link can be predicted, the sensor is guided to conduct route selection, and therefore risk aversion of multi-hop transmission on an unreliable link is achieved and the collecting success rate of data is improved.

Description

technical field [0001] The present invention relates to the technical field of wireless networks, in particular to a transmission method and system based on risk assessment. Background technique [0002] With the increasing maturity of communication, sensor manufacturing, and embedded computing, large-scale wireless sensor network technology has developed rapidly and has been widely used in many fields such as environment, national defense, disaster relief, and urban management. There are many differences in hardware, physical environment, and neighbor nodes between different nodes of wireless sensors. These differences can cause wireless communication links to vary with time and space. Therefore, how to design a generalized and reliable large-scale wireless sensor network transmission method is current problems that need to be solved urgently. [0003] The problem in this aspect is solved in the prior art by accurately measuring link quality to select a routing strategy. ...

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
IPC IPC(8): H04W24/04H04W24/06
Inventor 刘云浩孙家广曹志超何源
Owner TSINGHUA UNIV
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