Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Single-layer linear network prediction based authentication method of network data of wireless sensor

A wireless sensor and network prediction technology, applied in wireless communication, network topology, electrical components, etc., can solve the problems of lack of spatial correlation, rare and other problems, achieve unique advantages, improve accuracy, and achieve the effect of great application potential

Inactive Publication Date: 2011-02-09
ZHEJIANG FORESTRY UNIVERSITY
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few related researches at home and abroad on the measurement data verification and fault detection of wireless sensor networks lacking spatial correlation.

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
  • Single-layer linear network prediction based authentication method of network data of wireless sensor
  • Single-layer linear network prediction based authentication method of network data of wireless sensor
  • Single-layer linear network prediction based authentication method of network data of wireless sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] image 3 The illustrated embodiment is a schematic diagram of a wireless sensor network mainly used for monitoring forest fires. In the graph except node V * In addition, other nodes are densely deployed. V * through node V 1 , V 2 and V 3 Forward the measurement data to the monitoring center. Since V * There is a lack of neighbor nodes. In order to verify whether the measurement data collected by it is correct, it is necessary to use the existing measurement value sequence of the node within a certain period of time to predict the measurement value in the future, and use the predicted value to compare with the actual measurement value. Determine if the actual measurement is correct.

[0046] Now take the temperature value (in degrees Celsius) as an example; let's say node V * (The detection range is R) The measured values ​​at the first 5 sampling moments are {20, 21, 20.5, 22, 21.5}, and the weight vector of the single-layer linear network has been calculated...

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 relates to an authentication method of network data of a wireless sensor, which has the advantages of convenient real-time authentication and high detection precision on errors. In a technical scheme, the single-layer linear network prediction based authentication method of the network data of the wireless sensor comprises the following steps of: 1, calculating the weight vector of a single-layer linear network after giving the initial measurement data sequence and error threshold value C of a node; 2, calculating the predicted value of the node at next moment and comparing the predicted value with the actual measurement value xt+1; if the error between the two values is smaller than the given threshold value C, eliminating an element xt-(q-1) in the measurement data sequence and adding xt+1 in the sequence X; then returning to the step 2; or else, considering the measurement value xt+1 as an abnormal value; then confirming xt+1 by using other types of data; if xt+1 is confirmed, judging xt+1 to be an error measurement value; if xt+1 is a correct measurement value, eliminating the element xt-(q-1) in the measurement data sequence and adding xt-(q-1) to a sequence X; and then returning to the step 2.

Description

technical field [0001] The invention relates to a reliability verification method of a wireless sensor network, in particular to a wireless sensor network measurement data verification method based on single-layer linear network prediction. Background technique [0002] At present, wireless sensor network (WSN) has become a research hotspot of both academia and industry. In safety-critical fields (such as intelligent transportation, monitoring of dangerous goods production processes and natural disasters), wireless sensor network systems must maintain a high degree of reliability. Since wireless sensor network nodes have limited resources and are usually deployed in harsh natural environments, they are inevitably affected by factors such as battery energy, radio frequency interference, weather, and external hazards. Without access to accurate and reliable data, wireless sensor networks will have no usability. Therefore, under the premise of limited node resources, how to e...

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): H04W24/00H04W84/18
Inventor 李光辉
Owner ZHEJIANG FORESTRY UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com